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The hard work and script selection of TFI heroes Prabhas - Great hardwork and brilliant script selection NTR - No hardwork and below average Script selection Mahesh Babu - Real hardworker and average script selection Allu Arjun - extream hardwork and God level script selection Ram charan - ultra...

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𝙋𝙀𝘿𝘿𝙄 𝙋𝙍𝘼𝙎𝙃𝘼𝙉𝙏𝙃

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77,704 görüntüleme • 7 gün önce •via X (Twitter)

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#NaveenPolishetty is not just an entertainer. He is a serious actor with a great judgement at script selection. We are going to witness great movies from him in the future. And his sense of humour is unparalleled. We get to see personal side of Sreeleela in this show. NBK is🔥 #UnstoppableWithNBKS4
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#NaveenPolishetty is not just an entertainer. He is a serious actor with a great judgement at script selection. We are going to witness great movies from him in the future. And his sense of humour is unparalleled. We get to see personal side of Sreeleela in this show. NBK is🔥 #UnstoppableWithNBKS4

idlebrain jeevi

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N8N + Veo 3 is going viral. 5 things this workflow automates: • Character creation with details • Location selection for scenes • Script writing scene-by-scene • Video generation with Veo • Audio sync and export Each element perfectly coordinated automatically. No manual intervention needed ever. The character congruency needs work. But ads still convert well. Save this video, you'll automate ads. Want the SOP? DM me. 💬
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N8N + Veo 3 is going viral. 5 things this workflow automates: • Character creation with details • Location selection for scenes • Script writing scene-by-scene • Video generation with Veo • Audio sync and export Each element perfectly coordinated automatically. No manual intervention needed ever. The character congruency needs work. But ads still convert well. Save this video, you'll automate ads. Want the SOP? DM me. 💬

Julian Goldie SEO

37,165 görüntüleme • 1 yıl önce

SELECTION CODE: The Elections Are Theater | Documentary SELECTION CODE rips the veil off the illusion we've been living under, exposing how elections aren't just flawed, they're scripted. This isn’t Democrats vs. Republicans. That’s just the distraction. That’s the show. The real story? A hidden system running the script. A technocratic machine designed not to reflect the will of the people, but to engineer it. Lara Logan’s investigation uncovers how the power to count the vote quietly shifted to those who code the vote, and how patriots like Tina Peters became public enemies the moment they exposed the digital fingerprints of election tampering. This film peels back layer after layer of deception, revealing the control grid masquerading as democracy. This isn’t just about “stolen elections.” It’s about manufactured consent. The left and right? Two wings of the same beast. And until we see past the illusion of choice, we’re not voting, we’re complying. 🧠💣 Wake up. This isn’t politics. It’s programming. Source: YouTube @ AOitsAO
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SELECTION CODE: The Elections Are Theater | Documentary SELECTION CODE rips the veil off the illusion we've been living under, exposing how elections aren't just flawed, they're scripted. This isn’t Democrats vs. Republicans. That’s just the distraction. That’s the show. The real story? A hidden system running the script. A technocratic machine designed not to reflect the will of the people, but to engineer it. Lara Logan’s investigation uncovers how the power to count the vote quietly shifted to those who code the vote, and how patriots like Tina Peters became public enemies the moment they exposed the digital fingerprints of election tampering. This film peels back layer after layer of deception, revealing the control grid masquerading as democracy. This isn’t just about “stolen elections.” It’s about manufactured consent. The left and right? Two wings of the same beast. And until we see past the illusion of choice, we’re not voting, we’re complying. 🧠💣 Wake up. This isn’t politics. It’s programming. Source: YouTube @ AOitsAO

BunnyCrumbs

40,299 görüntüleme • 11 ay önce

for better understanding of how bitcoin works, i decided to build a fork called TETSUO. bitcoin uses secp256k1 ECDSA with SHA256/RIPEMD160 hashing for addresses and transaction signing. TETSUO maintains that exact same cryptographic foundation, we inherit decades of security research. but we optimized the transaction format: - sequence numbers set to 0xffffffff for full script compatibility - SIGHASH_ALL appended to the signing preimage before hashing (not after) - proper little-endian encoding throughout this meant rebuilding the entire signing pipeline. started by forking the bitcoin-core codebase, then built a complete TypeScript wallet SDK on top. implemented BIP39 mnemonic generation, UTXO selection, fee estimation, all the stuff wallets need. the critical part: client-side signing only. your private keys never touch any server. transaction is built locally, signed locally, broadcast to network. open source: (the node) (the SDK) (block explorer) understanding bitcoin meant understanding every layer of the protocol.
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for better understanding of how bitcoin works, i decided to build a fork called TETSUO. bitcoin uses secp256k1 ECDSA with SHA256/RIPEMD160 hashing for addresses and transaction signing. TETSUO maintains that exact same cryptographic foundation, we inherit decades of security research. but we optimized the transaction format: - sequence numbers set to 0xffffffff for full script compatibility - SIGHASH_ALL appended to the signing preimage before hashing (not after) - proper little-endian encoding throughout this meant rebuilding the entire signing pipeline. started by forking the bitcoin-core codebase, then built a complete TypeScript wallet SDK on top. implemented BIP39 mnemonic generation, UTXO selection, fee estimation, all the stuff wallets need. the critical part: client-side signing only. your private keys never touch any server. transaction is built locally, signed locally, broadcast to network. open source: (the node) (the SDK) (block explorer) understanding bitcoin meant understanding every layer of the protocol.

acidburn

80,862 görüntüleme • 6 ay önce

Not a preplanned motion sequence. A robot deciding mid-jump what to do next. [📍 paper + demo] Researchers just showed a humanoid doing real parkour using only onboard perception. No motion script, no fixed obstacle layout. The system is called Perceptive Humanoid Parkour (PHP). Instead of memorizing a path, the robot reads depth from its cameras and continuously chooses actions. Step, vault, climb, or roll depending on what geometry appears in front of it. To make that possible, they combine three ideas: First, they stitch together human motion clips into long movement references so the robot learns fluid transitions instead of isolated tricks. Second, they train tracking policies with reinforcement learning so contacts land at the right time and the robot keeps balance during dynamic moves. Finally, everything is distilled into one perception policy that runs directly from depth input to action selection. The result on a Unitree G1: about 3 m/s vaults wall climbs up to 1.25 m nearly one minute continuous obstacle traversal adapting when obstacles move What matters is not the tricks. It is the shift in capability. Earlier humanoids executed motions. This one navigates situations. Once robots react to geometry instead of replaying trajectories, environments stop needing to be predictable. Warehouses, homes, and outdoors suddenly become the same problem. Thanks for sharing, Zhen Wu! Paper + demo: ——— Weekly robotics and AI insights. Subscribe free:
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Not a preplanned motion sequence. A robot deciding mid-jump what to do next. [📍 paper + demo] Researchers just showed a humanoid doing real parkour using only onboard perception. No motion script, no fixed obstacle layout. The system is called Perceptive Humanoid Parkour (PHP). Instead of memorizing a path, the robot reads depth from its cameras and continuously chooses actions. Step, vault, climb, or roll depending on what geometry appears in front of it. To make that possible, they combine three ideas: First, they stitch together human motion clips into long movement references so the robot learns fluid transitions instead of isolated tricks. Second, they train tracking policies with reinforcement learning so contacts land at the right time and the robot keeps balance during dynamic moves. Finally, everything is distilled into one perception policy that runs directly from depth input to action selection. The result on a Unitree G1: about 3 m/s vaults wall climbs up to 1.25 m nearly one minute continuous obstacle traversal adapting when obstacles move What matters is not the tricks. It is the shift in capability. Earlier humanoids executed motions. This one navigates situations. Once robots react to geometry instead of replaying trajectories, environments stop needing to be predictable. Warehouses, homes, and outdoors suddenly become the same problem. Thanks for sharing, Zhen Wu! Paper + demo: ——— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

22,080 görüntüleme • 5 ay önce

this guy built an ai-girl pipeline using real-time face filters, and d2c brands now pay him $2,000 per ugc video he got tired of watching brands burn $4,000 on a single creator who takes 2 weeks to deliver one angle, so he built a setup that runs photoreal ai girls live from his own webcam, no actresses, no studios, no makeup artists his monthly revenue hit $89,000 last month from a network of 7 ai personas across tiktok and instagram. the average ugc creator caps at $6k juggling 4 brand deals the breakdown: > hardware is the moat, but most people butcher the setup in the first frame. face mesh locked at 60fps with zero artifacting > persona comes first, mess this up and nothing saves it: name, backstory, voice tone, niche before a single clip is shot > face selection is not random. you a/b test features (eye spacing, jawline, hair contrast) because some faces convert better in 9:16 > you're picking who your audience trusts, not who looks cool. that's targeting baked into bone structure > real-time physics run before the script, this is what kills the uncanny valley that destroys watch time in 2 seconds > the filter has to survive the strap of a tank top, the texture of a knit cardigan, the hair flick > batching is the move 96% skip: one performance, multiple personas, three platforms > the system pushes 12 pieces before lunch while brands test 2 creators a week and wonder why their cpa sits at $94 the economics: each video costs $4 in compute, sells for $1,500 to $3,000, takes 14 minutes to produce. that's a 37,500% margin, while ugc agencies pay creators $400-800 per clip and net $200 after revisions one supplement brand generated 14 variants with 7 personas in 4 hours and found a winner in 36 hours without flying a creator to la. they were paying $1,200 per ugc video and burning $6,000/week on content that didn't scale. now they spend $210 for 14 variants and their cpa dropped from $89 to $27 the avatars hold real products, warm window light on the persona, cold neon on the operator, mouth shapes sync to consonants not just vowels just a webcam, a tracked face, and the discipline to move enough that the filter never has a chance to break
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this guy built an ai-girl pipeline using real-time face filters, and d2c brands now pay him $2,000 per ugc video he got tired of watching brands burn $4,000 on a single creator who takes 2 weeks to deliver one angle, so he built a setup that runs photoreal ai girls live from his own webcam, no actresses, no studios, no makeup artists his monthly revenue hit $89,000 last month from a network of 7 ai personas across tiktok and instagram. the average ugc creator caps at $6k juggling 4 brand deals the breakdown: > hardware is the moat, but most people butcher the setup in the first frame. face mesh locked at 60fps with zero artifacting > persona comes first, mess this up and nothing saves it: name, backstory, voice tone, niche before a single clip is shot > face selection is not random. you a/b test features (eye spacing, jawline, hair contrast) because some faces convert better in 9:16 > you're picking who your audience trusts, not who looks cool. that's targeting baked into bone structure > real-time physics run before the script, this is what kills the uncanny valley that destroys watch time in 2 seconds > the filter has to survive the strap of a tank top, the texture of a knit cardigan, the hair flick > batching is the move 96% skip: one performance, multiple personas, three platforms > the system pushes 12 pieces before lunch while brands test 2 creators a week and wonder why their cpa sits at $94 the economics: each video costs $4 in compute, sells for $1,500 to $3,000, takes 14 minutes to produce. that's a 37,500% margin, while ugc agencies pay creators $400-800 per clip and net $200 after revisions one supplement brand generated 14 variants with 7 personas in 4 hours and found a winner in 36 hours without flying a creator to la. they were paying $1,200 per ugc video and burning $6,000/week on content that didn't scale. now they spend $210 for 14 variants and their cpa dropped from $89 to $27 the avatars hold real products, warm window light on the persona, cold neon on the operator, mouth shapes sync to consonants not just vowels just a webcam, a tracked face, and the discipline to move enough that the filter never has a chance to break

Kiyoro

31,137 görüntüleme • 2 ay önce

"Please fix Markdown tables!" Okay: text-only, wrapping, columnar selection, proper border conjunctions, fill full width, in opencode beta now. "What took so long?" Here's a writeup: OpenTUI uses yoga layout and has elements called Renderables. Boxes with borders, plain text, code with tree-sitter backed highlighting and other primitives. Organised in a tree structure resembling somewhat of a DOM. Approaching a table naively, given the primitives are there, one would think to just stack box and text elements the right way in a flex-box layout to visually represent a table. Boxes support borders. Problem solved. This is what an LLM would one-shot in a working state, given OpenTUI's API surface. Ignoring the fact that just using box local borders don't handle border conjunctions properly. Benchmarking something like that quickly shows that instantiating an average table takes >70ms and incremental updates become expensive. Hugely due to yoga-layout via wasm having a painful price on yoga API calls. The whole ordeal becomes memory hungry, because a Text element handles more than just plain text. A simple 4x6 table needs a Box and Text per cell, ending up with 48 heavy nodes that yoga must lay out. "But that's just OpenTUI being slow" - you might say. Yes, but no. Yoga should be integrated in the zig native binary core of OpenTUI. It is on the roadmap to do so, which will speed up render passes by 2-5x. Yoga-layout has an open PR to support CSS Grids, which would greatly ease building something like a table. We will use that for fully laid out tables when it gets there. Below the typescript core level Renderables, there are lower level primitives like TextBuffers and TextBufferViews, bound via FFI and completely handled in Zig. I was stuck expecting a table primitive to handle a full layout like a table in the browser does. For Markdown all we need is a text-only table. So we had to come up with a better idea, something that is feasible now. A table layout is pretty straight forward. No need to have yoga deal with that. Using TextBufferViews for cells directly gives lower level control and eliminates some overhead that Boxes and Text renderables have. A simple native method to draw a grid with proper conjunctions is a nice library method. It will surely be used for other cases, so that's what we added. Using this simplified approach we were able to bring down initial instantiation to <1ms, more than 70x improvement. With a far smaller memory footprint. Given all the low level primitives are known and implementing a text-only table like this is possible, Codex was of great help to carve out the PoC, setup the benchmarks and tests. That's only a fraction of what was needed though. The table needs options to span the full available width, render different border styles, show/hide borders, padding, selection etc. So many iterations later OpenTUI now has a text-only, performant and relatively cheap TextTable that we can leverage to render Markdown tables in a streaming/incremental manner. Efficiently and properly.
0:37

"Please fix Markdown tables!" Okay: text-only, wrapping, columnar selection, proper border conjunctions, fill full width, in opencode beta now. "What took so long?" Here's a writeup: OpenTUI uses yoga layout and has elements called Renderables. Boxes with borders, plain text, code with tree-sitter backed highlighting and other primitives. Organised in a tree structure resembling somewhat of a DOM. Approaching a table naively, given the primitives are there, one would think to just stack box and text elements the right way in a flex-box layout to visually represent a table. Boxes support borders. Problem solved. This is what an LLM would one-shot in a working state, given OpenTUI's API surface. Ignoring the fact that just using box local borders don't handle border conjunctions properly. Benchmarking something like that quickly shows that instantiating an average table takes >70ms and incremental updates become expensive. Hugely due to yoga-layout via wasm having a painful price on yoga API calls. The whole ordeal becomes memory hungry, because a Text element handles more than just plain text. A simple 4x6 table needs a Box and Text per cell, ending up with 48 heavy nodes that yoga must lay out. "But that's just OpenTUI being slow" - you might say. Yes, but no. Yoga should be integrated in the zig native binary core of OpenTUI. It is on the roadmap to do so, which will speed up render passes by 2-5x. Yoga-layout has an open PR to support CSS Grids, which would greatly ease building something like a table. We will use that for fully laid out tables when it gets there. Below the typescript core level Renderables, there are lower level primitives like TextBuffers and TextBufferViews, bound via FFI and completely handled in Zig. I was stuck expecting a table primitive to handle a full layout like a table in the browser does. For Markdown all we need is a text-only table. So we had to come up with a better idea, something that is feasible now. A table layout is pretty straight forward. No need to have yoga deal with that. Using TextBufferViews for cells directly gives lower level control and eliminates some overhead that Boxes and Text renderables have. A simple native method to draw a grid with proper conjunctions is a nice library method. It will surely be used for other cases, so that's what we added. Using this simplified approach we were able to bring down initial instantiation to <1ms, more than 70x improvement. With a far smaller memory footprint. Given all the low level primitives are known and implementing a text-only table like this is possible, Codex was of great help to carve out the PoC, setup the benchmarks and tests. That's only a fraction of what was needed though. The table needs options to span the full available width, render different border styles, show/hide borders, padding, selection etc. So many iterations later OpenTUI now has a text-only, performant and relatively cheap TextTable that we can leverage to render Markdown tables in a streaming/incremental manner. Efficiently and properly.

kmdr

208,295 görüntüleme • 4 ay önce

••• Working Stress Free And Getting A Positive Result ••• 💡💡💡 I used to grind like a machine, long hours, tight chest, constant mental noise, only to end up with average results and zero joy. Then I flipped the script. Not by working harder, but by working cleaner. The difference was night and day. Here’s what actually moved the needle for me: I stopped treating my mind like a battlefield and started treating it like a garden. Every morning, before touching my phone, I spend 10 quiet minutes deciding the one outcome I want that day. Not ten tasks. One clear, positive result. The rest becomes support, not pressure. I cut the invisible noise. Focus less on the Notifications. Deep work blocks with zero multitasking. When distraction knocks, I acknowledge it and gently send it away instead of fighting it. That single habit alone slashed my stress by more than half while doubling my output. I learned to hand over what doesn’t need my personal touch. Delegating isn’t laziness, it’s leadership. The moment I trusted my small team with the right pieces, space opened up for me to focus on high-value moves that actually create breakthroughs. And the biggest game-changer? I started celebrating small, clean wins like they were major victories. Gratitude at the end of each day isn’t fluffy, it rewires your brain to expect positive results. Your energy follows where your attention goes. This isn’t theory. This is how I now move through my days, calm, focused, and consistently profitable. Stress became a rare visitor instead of a permanent roommate. My lovely people, if you’re reading this, you already value excellence and clarity. Drop your biggest “stress-free productivity” lesson in the replies. Let’s build a thread of real, high-level insights that actually work. The peace is possible. The results are waiting. You just have to choose the cleaner path. — Lord of Sugar 💖🪄
0:45

••• Working Stress Free And Getting A Positive Result ••• 💡💡💡 I used to grind like a machine, long hours, tight chest, constant mental noise, only to end up with average results and zero joy. Then I flipped the script. Not by working harder, but by working cleaner. The difference was night and day. Here’s what actually moved the needle for me: I stopped treating my mind like a battlefield and started treating it like a garden. Every morning, before touching my phone, I spend 10 quiet minutes deciding the one outcome I want that day. Not ten tasks. One clear, positive result. The rest becomes support, not pressure. I cut the invisible noise. Focus less on the Notifications. Deep work blocks with zero multitasking. When distraction knocks, I acknowledge it and gently send it away instead of fighting it. That single habit alone slashed my stress by more than half while doubling my output. I learned to hand over what doesn’t need my personal touch. Delegating isn’t laziness, it’s leadership. The moment I trusted my small team with the right pieces, space opened up for me to focus on high-value moves that actually create breakthroughs. And the biggest game-changer? I started celebrating small, clean wins like they were major victories. Gratitude at the end of each day isn’t fluffy, it rewires your brain to expect positive results. Your energy follows where your attention goes. This isn’t theory. This is how I now move through my days, calm, focused, and consistently profitable. Stress became a rare visitor instead of a permanent roommate. My lovely people, if you’re reading this, you already value excellence and clarity. Drop your biggest “stress-free productivity” lesson in the replies. Let’s build a thread of real, high-level insights that actually work. The peace is possible. The results are waiting. You just have to choose the cleaner path. — Lord of Sugar 💖🪄

Lord of Sugar 💖🪄

16,249 görüntüleme • 2 ay önce

SS Dean Curley (Tennessee Baseball) is one of the top Sophomore-eligible prospects in this year's Draft. Earned the starting shortstop job as a Freshman and hit .285/.386/.502 with 10 2B, 12 HR, and 50 RBIs. After winning the National Title, Curley also enjoyed a productive stint with Team USA. Curley has a big league body at 6'3" and 212-lbs with length in his lower-half and strength and physicality throughout. Slightly crouched setup in the box with a medium-high handset. Small stride with a minimal load in which he deploys a slight barrel tip. Curley has big time hand speed and an engaged lower-1/2 - fan of the scissor action with his back leg. It's an under control operation/easy operation with minimal moving parts, and one in which he takes a short and direct path to contact. Head stays level. There's a really appealing compact explosiveness to it. Curley has a knack for finding the barrel to go along with plus bat-to-ball skills. Sported an overall IZ contact rate of 90% last season, including 93% against FB. Difficult to beat with the heater and handles velocity well. Hit .304/.515/.348 against 94+, including .500/.611/.571 against 95+ (albeit a smaller sample size). While there's some swing and miss against spin, Curley has a sound approach and his swing decisions are polished. Pitch recognition skills took a step forward with Team USA, curious to see if that carries over into the spring. Comfortable giving the hit tool a 50 right now, though it's closer to a 55. On top of his hitability, Curley has above-average raw power (plus to the pull side). His highest quality of contact—and the vast majority of his HR power—is to the PS, but he has the strength to drive the baseball to all fields. Routinely impacts the baseball and is able to do so with relative ease. On top of his 90th-percentile EV of 107, Curley posted a Max EV of 110.8. Very enticing hit-power blend. Curley is a slam dunk to stick on the left side of the infield, it's just a matter of where. Started every day at SS last spring and is slated to do so again in 2025. He has an advanced baseball sense with a comfortably plus arm and some range to the arm side. There is a chance he eventually moves to 3B in pro ball where the arm and actions will both translate well. There's a lot to like with Curley from a tools standpoint on both sides of the baseball. He can impact the game in a myriad of ways and is on track to be a top-50 overall selection this July. (📽️: Tennessee Baseball)
0:25

SS Dean Curley (Tennessee Baseball) is one of the top Sophomore-eligible prospects in this year's Draft. Earned the starting shortstop job as a Freshman and hit .285/.386/.502 with 10 2B, 12 HR, and 50 RBIs. After winning the National Title, Curley also enjoyed a productive stint with Team USA. Curley has a big league body at 6'3" and 212-lbs with length in his lower-half and strength and physicality throughout. Slightly crouched setup in the box with a medium-high handset. Small stride with a minimal load in which he deploys a slight barrel tip. Curley has big time hand speed and an engaged lower-1/2 - fan of the scissor action with his back leg. It's an under control operation/easy operation with minimal moving parts, and one in which he takes a short and direct path to contact. Head stays level. There's a really appealing compact explosiveness to it. Curley has a knack for finding the barrel to go along with plus bat-to-ball skills. Sported an overall IZ contact rate of 90% last season, including 93% against FB. Difficult to beat with the heater and handles velocity well. Hit .304/.515/.348 against 94+, including .500/.611/.571 against 95+ (albeit a smaller sample size). While there's some swing and miss against spin, Curley has a sound approach and his swing decisions are polished. Pitch recognition skills took a step forward with Team USA, curious to see if that carries over into the spring. Comfortable giving the hit tool a 50 right now, though it's closer to a 55. On top of his hitability, Curley has above-average raw power (plus to the pull side). His highest quality of contact—and the vast majority of his HR power—is to the PS, but he has the strength to drive the baseball to all fields. Routinely impacts the baseball and is able to do so with relative ease. On top of his 90th-percentile EV of 107, Curley posted a Max EV of 110.8. Very enticing hit-power blend. Curley is a slam dunk to stick on the left side of the infield, it's just a matter of where. Started every day at SS last spring and is slated to do so again in 2025. He has an advanced baseball sense with a comfortably plus arm and some range to the arm side. There is a chance he eventually moves to 3B in pro ball where the arm and actions will both translate well. There's a lot to like with Curley from a tools standpoint on both sides of the baseball. He can impact the game in a myriad of ways and is on track to be a top-50 overall selection this July. (📽️: Tennessee Baseball)

Peter Flaherty III

48,911 görüntüleme • 1 yıl önce

Explainer Video of all the Settings of Hiddentrades - Hidden Liquidity Finder It's quite a long one (44 minutes), but wanted to touch on everything important! If you have any questions or suggestions let me know! Giving away 3 Beta access: just Like, RT and Comment! Overview with timestamps: Core Detection & Filtering [00:30] History: Controls how many past candles the script checks (capped at 10,000). Lowering this number significantly speeds up the script's loading time. [01:32] BB Formation Window: Sets how many candles into the future the script will look to see if an order block converts into a breaker block. [02:25] Partial Mitigation: Defines the percentage an order block can be pierced by price action before the setup is considered fully mitigated and invalidated. [04:48] Use ICT OBs: Enforces stricter ICT (Inner Circle Trader) rules. It requires the displacement to have three consecutive confirmation candles moving in the opposite direction. [06:48] Allow Two Candle Impulse: A modifier for the ICT setting that reduces the required displacement confirmation from three candles down to two. [07:39] Only Show Multi-TFs: Cleans up the chart by hiding single breaker blocks, displaying only the stronger multi-timeframe setups. [08:13] Early BB Detection: Allows breaker blocks to confirm and form directly on the next candle after the displacement, helping you spot setups earlier. Order Block & Gap Configuration [09:30] Strict OB Filter: Makes pivot order blocks stricter by validating the height of the specific displacement candles surrounding the block. [11:24] Requires Same Direction Candle: Ensures the candle immediately preceding the order block is moving in the same direction, creating a true pivot point. [12:18] Use Wicks for Pivot Detection: Uses the extremes of the candle wicks to calculate the pivot low/high, rather than relying strictly on the candle bodies. [13:16] OB Candle Color Filter: Adds a strict color requirement to the candles forming the order block to ensure it perfectly aligns with traditional definitions. [14:08] OB Side Mode (Pivot vs. Chain): Allows the script to follow a continuous chain of fair value gaps (FVGs) rather than strictly requiring a perfect pivot setup. [16:13] Displacement Candle Setup: Explains how the script handles displacement candles that open directly inside the order block (common with market gaps). [17:17] Allow Gaps to Create a Breaker Block: Very useful for trading stocks with pre/post-market price jumps, allowing the physical price gap itself to serve as a valid trigger. [18:42] Body Size Filtering: Allows you to set a minimum percentage size for order blocks, with separate inputs for lower, middle, and higher timeframes. Time Frame (TF) Selection Modes [20:07] Auto Mode: Automatically searches up to 20 timeframes above and 20 timeframes below your current chart to find setups. [22:10] Auto From Selected: Uses the auto-search logic, but strictly limits the search to the specific timeframes you have manually checked off. [23:49] Selected Only: Scans exactly the timeframes you select, regardless of the timeframe you are currently viewing on the chart. Visual & Chart Display Settings [25:04] Merge Nearby Breaker Blocks into Clusters: Combines multiple overlapping or nearby zones into one clean, unified cluster zone. [27:27] Show Order Blocks Inside Cluster: Hides isolated single order blocks, only visualizing those that contribute to a larger multi-timeframe cluster. [29:03] Distance Filter: Instantly hides any setups that fall outside a set percentage range (e.g., 10%) from the current market price. [30:01] Show Forming Breaker Blocks: Displays upcoming setups in a faint gray color before the final confirming candle has officially closed. [31:52] Hide Mitigated BB Always: Automatically removes breaker blocks from your screen the moment price action fully mitigates them. [34:10] Show Recently Deleted Breaker Blocks: Keeps failed or mitigated blocks visible in gray for the last 240 candles — an excellent feature for backtesting. [36:03] Text Offsets: Adjusts the padding of the text labels so they sit cleanly away from the chart blocks without overlapping. [37:39] Merge Overlapping Labels: Intelligently combines the text labels of two nearby breaker blocks into a single centered tag to prevent visual clutter. [39:23] Colors and Opacity: Customizes block colors and automatically fades the opacity of lower-timeframe blocks while keeping higher-timeframe blocks solid and prominent. [41:32] Bold Text Label: A simple toggle to bold the chart labels for easier reading.
44:09

Explainer Video of all the Settings of Hiddentrades - Hidden Liquidity Finder It's quite a long one (44 minutes), but wanted to touch on everything important! If you have any questions or suggestions let me know! Giving away 3 Beta access: just Like, RT and Comment! Overview with timestamps: Core Detection & Filtering [00:30] History: Controls how many past candles the script checks (capped at 10,000). Lowering this number significantly speeds up the script's loading time. [01:32] BB Formation Window: Sets how many candles into the future the script will look to see if an order block converts into a breaker block. [02:25] Partial Mitigation: Defines the percentage an order block can be pierced by price action before the setup is considered fully mitigated and invalidated. [04:48] Use ICT OBs: Enforces stricter ICT (Inner Circle Trader) rules. It requires the displacement to have three consecutive confirmation candles moving in the opposite direction. [06:48] Allow Two Candle Impulse: A modifier for the ICT setting that reduces the required displacement confirmation from three candles down to two. [07:39] Only Show Multi-TFs: Cleans up the chart by hiding single breaker blocks, displaying only the stronger multi-timeframe setups. [08:13] Early BB Detection: Allows breaker blocks to confirm and form directly on the next candle after the displacement, helping you spot setups earlier. Order Block & Gap Configuration [09:30] Strict OB Filter: Makes pivot order blocks stricter by validating the height of the specific displacement candles surrounding the block. [11:24] Requires Same Direction Candle: Ensures the candle immediately preceding the order block is moving in the same direction, creating a true pivot point. [12:18] Use Wicks for Pivot Detection: Uses the extremes of the candle wicks to calculate the pivot low/high, rather than relying strictly on the candle bodies. [13:16] OB Candle Color Filter: Adds a strict color requirement to the candles forming the order block to ensure it perfectly aligns with traditional definitions. [14:08] OB Side Mode (Pivot vs. Chain): Allows the script to follow a continuous chain of fair value gaps (FVGs) rather than strictly requiring a perfect pivot setup. [16:13] Displacement Candle Setup: Explains how the script handles displacement candles that open directly inside the order block (common with market gaps). [17:17] Allow Gaps to Create a Breaker Block: Very useful for trading stocks with pre/post-market price jumps, allowing the physical price gap itself to serve as a valid trigger. [18:42] Body Size Filtering: Allows you to set a minimum percentage size for order blocks, with separate inputs for lower, middle, and higher timeframes. Time Frame (TF) Selection Modes [20:07] Auto Mode: Automatically searches up to 20 timeframes above and 20 timeframes below your current chart to find setups. [22:10] Auto From Selected: Uses the auto-search logic, but strictly limits the search to the specific timeframes you have manually checked off. [23:49] Selected Only: Scans exactly the timeframes you select, regardless of the timeframe you are currently viewing on the chart. Visual & Chart Display Settings [25:04] Merge Nearby Breaker Blocks into Clusters: Combines multiple overlapping or nearby zones into one clean, unified cluster zone. [27:27] Show Order Blocks Inside Cluster: Hides isolated single order blocks, only visualizing those that contribute to a larger multi-timeframe cluster. [29:03] Distance Filter: Instantly hides any setups that fall outside a set percentage range (e.g., 10%) from the current market price. [30:01] Show Forming Breaker Blocks: Displays upcoming setups in a faint gray color before the final confirming candle has officially closed. [31:52] Hide Mitigated BB Always: Automatically removes breaker blocks from your screen the moment price action fully mitigates them. [34:10] Show Recently Deleted Breaker Blocks: Keeps failed or mitigated blocks visible in gray for the last 240 candles — an excellent feature for backtesting. [36:03] Text Offsets: Adjusts the padding of the text labels so they sit cleanly away from the chart blocks without overlapping. [37:39] Merge Overlapping Labels: Intelligently combines the text labels of two nearby breaker blocks into a single centered tag to prevent visual clutter. [39:23] Colors and Opacity: Customizes block colors and automatically fades the opacity of lower-timeframe blocks while keeping higher-timeframe blocks solid and prominent. [41:32] Bold Text Label: A simple toggle to bold the chart labels for easier reading.

Marius 👁️⚡🌱

18,201 görüntüleme • 1 ay önce

After regrouping with our investors and the team, I’ve made the difficult decision to wind down Hike completely. Our US business, launched just nine months ago, is off to a strong start. But scaling globally would require a full recap, a reset that is not the best use of capital or time. The Big Question → We could raise the capital, but the real question is: is it worth it? Is this a climb worth pivoting for? For the first time in 13 years, my answer is no. Not for me, not for my team, and not for our investors. Why? 1. RMG was never the destination. It was a way to test unit economics and traction in India while working toward a bigger vision. In hindsight, starting in India locked us into the model and regulatory headwinds, turning a temporary path into a more permanent one. 2. The Gaming Nation vision is real, but we may be too early. The world will eventually move toward a Nation-type model in gaming and Web3 - Company 2.0. But crypto regulation is still developing globally, and we don’t want to repeat India, where we hoped for clarity that never came. 3. And most importantly, if doing a full reset, is this where I’d put my own capital and energy today? For the first time, the answer is no. The world has changed in the last decade - and so have I. There are more important problems to solve and bigger opportunities to deploy brilliant talent and capital. Looking Back & Lessons The last 13 years have been immense. Hike Messenger reached 40M MAUs and became the 35th most loved consumer brand in India at its peak. With Rush, we built a brand new kind of Casual PvP gaming platform and scaled it to 10M users and $500M+ in gross revenue in just 4 years. Our execution was super, but we could never quite make it stick. There are clear lessons to carry forward, especially on market selection: 1. Be careful with winner-take-all markets. To win, you need to go global. 2. Don’t build for today’s tech constraints. Build on the spring/summer of new technologies. 3. Regulatory clarity matters. Risk is fine; uncertainty is not. More importantly momentum is everything. And build what your heart and mind are deeply excited about. It’s the conviction that carries you through. This is both a disappointment and a hard outcome. But I choose to look on the bright side: the learnings are invaluable, and my conviction for what’s next is even stronger. To everyone who has been part of this journey - our users, our team, our investors, and our community - thank you. As a CEO, you’re only as strong as your team, and I want to give a special shout-out to mine - an incredible group of people who gave this everything. Hike This chapter ends, but the climb continues. Looking Forward I’ve always thrived at building at the forefront of technology. Over the last decade, in the little time I had to explore outside of Hike, I kept returning to the same three frontiers. And now, they feel like the great canvases for decades to come → 1. AI → For the first time, technology has both intelligence and memory. Imagine products that don’t just serve us functionally but truly know us - systems that adapt, grow, and partner with us. As a UX-first builder, this is the most exciting time to be building software. 2. Breakthroughs in Energy → Human progress has always been bound by energy. The world’s demand for energy is rising faster than ever. Breakthrough approaches, especially in physics are needed to power the future. The last century gave us mastery of fine matters and electricity, the next will move deeper, at the intersection of science and spirituality - into what yogis call divine magnetism and physicists call the quantum world or electromagnetism. From there will come technologies that today feel impossible to imagine. 3. Mastery of the Self → As AI takes on more of our work, a deeper question will rise: what now defines us? When productivity is no longer the measure of worth, humanity will turn inward. Man’s evolution will move from the intellect to intuitive attunement - a deeper connection with ourselves and the divine (which we’ll realise are one and the same). The tools, spaces, and guides that help us explore this inner world will be as transformative as any innovation in the outer one - unlocking the next level of humanity’s potential. If you put these together, a picture emerges: → the cost of intelligence trending to zero → the cost of energy trending to zero → and the cost of willpower falling lower and lower. Just imagine a future where willpower is infinite, energy is abundant, and intelligence is at our fingertips. This is the future I will help build — and it’s where I’ll be contributing in the decades to come. This new chapter will look very different from the last one 🚀 Video for perspective. Full substack post link below.
0:40

After regrouping with our investors and the team, I’ve made the difficult decision to wind down Hike completely. Our US business, launched just nine months ago, is off to a strong start. But scaling globally would require a full recap, a reset that is not the best use of capital or time. The Big Question → We could raise the capital, but the real question is: is it worth it? Is this a climb worth pivoting for? For the first time in 13 years, my answer is no. Not for me, not for my team, and not for our investors. Why? 1. RMG was never the destination. It was a way to test unit economics and traction in India while working toward a bigger vision. In hindsight, starting in India locked us into the model and regulatory headwinds, turning a temporary path into a more permanent one. 2. The Gaming Nation vision is real, but we may be too early. The world will eventually move toward a Nation-type model in gaming and Web3 - Company 2.0. But crypto regulation is still developing globally, and we don’t want to repeat India, where we hoped for clarity that never came. 3. And most importantly, if doing a full reset, is this where I’d put my own capital and energy today? For the first time, the answer is no. The world has changed in the last decade - and so have I. There are more important problems to solve and bigger opportunities to deploy brilliant talent and capital. Looking Back & Lessons The last 13 years have been immense. Hike Messenger reached 40M MAUs and became the 35th most loved consumer brand in India at its peak. With Rush, we built a brand new kind of Casual PvP gaming platform and scaled it to 10M users and $500M+ in gross revenue in just 4 years. Our execution was super, but we could never quite make it stick. There are clear lessons to carry forward, especially on market selection: 1. Be careful with winner-take-all markets. To win, you need to go global. 2. Don’t build for today’s tech constraints. Build on the spring/summer of new technologies. 3. Regulatory clarity matters. Risk is fine; uncertainty is not. More importantly momentum is everything. And build what your heart and mind are deeply excited about. It’s the conviction that carries you through. This is both a disappointment and a hard outcome. But I choose to look on the bright side: the learnings are invaluable, and my conviction for what’s next is even stronger. To everyone who has been part of this journey - our users, our team, our investors, and our community - thank you. As a CEO, you’re only as strong as your team, and I want to give a special shout-out to mine - an incredible group of people who gave this everything. Hike This chapter ends, but the climb continues. Looking Forward I’ve always thrived at building at the forefront of technology. Over the last decade, in the little time I had to explore outside of Hike, I kept returning to the same three frontiers. And now, they feel like the great canvases for decades to come → 1. AI → For the first time, technology has both intelligence and memory. Imagine products that don’t just serve us functionally but truly know us - systems that adapt, grow, and partner with us. As a UX-first builder, this is the most exciting time to be building software. 2. Breakthroughs in Energy → Human progress has always been bound by energy. The world’s demand for energy is rising faster than ever. Breakthrough approaches, especially in physics are needed to power the future. The last century gave us mastery of fine matters and electricity, the next will move deeper, at the intersection of science and spirituality - into what yogis call divine magnetism and physicists call the quantum world or electromagnetism. From there will come technologies that today feel impossible to imagine. 3. Mastery of the Self → As AI takes on more of our work, a deeper question will rise: what now defines us? When productivity is no longer the measure of worth, humanity will turn inward. Man’s evolution will move from the intellect to intuitive attunement - a deeper connection with ourselves and the divine (which we’ll realise are one and the same). The tools, spaces, and guides that help us explore this inner world will be as transformative as any innovation in the outer one - unlocking the next level of humanity’s potential. If you put these together, a picture emerges: → the cost of intelligence trending to zero → the cost of energy trending to zero → and the cost of willpower falling lower and lower. Just imagine a future where willpower is infinite, energy is abundant, and intelligence is at our fingertips. This is the future I will help build — and it’s where I’ll be contributing in the decades to come. This new chapter will look very different from the last one 🚀 Video for perspective. Full substack post link below.

Kavin

24,411 görüntüleme • 10 ay önce

I’ve been using GPT-5.6 Sol internally for the past two months, I've spent probably 25+ billion tokens. Here’s my review and comparison to Fable 5: > Let's start with the analogy because everyone seems to be giving theirs - GPT-5.6 is likely the last version of the GPT-5 training run series. It's kind of like an athlete at their peak. Through years of experience in the game, they've become the most reliable player and has the highest game IQ. But, there's no more room to grow. Fable on the other hand, being essentially the first version of a new training run, is the first round draft pick rookie. Raw talent mixed with the energy only a young person would have results in some incredible plays we didn't think possible, but also mistakes due to lack of experience. But that rookie will only improve and likely will be better than the veteran ever was because it's a new game and a new era. > GPT-5.6 is genuinely better at long, sustained work. With /goal, I've had it running complex projects for days with almost no intervention. It built a Minecraft-style game, kept adding features and mobs after the core game worked, and only stopped because I stopped the run. I never felt as though I had to jump in and guide it back to the right path. > It keeps finding useful work when you give it a concrete finish line. I had it recreate Excel with a loop. It inspected the real desktop excel app with Computer Use, comparing that against its own build, and closing the gaps. I stopped it after six days after it had built an incredible amount of functionality. > It's faster than other models in two different ways. The raw generation speed is higher, something OpenAI has been putting effort into. But it also takes a shorter path to solutions. It wanders less, changes less code, and generally knows how to get things done directly. In daily use, it feels about 2-3x times faster than Fable. That's my impression, not a controlled benchmark. The difference is large enough that I notice it constantly. > It works well across a wide range of tasks. I use it for one-line edits, quick questions, browser chores, and multi-day builds without changing my prompting style. Speaking of browser control, its the best ever I've used. To the point where I actually use it often. If a task lives on a website, GPT-5.6 usually opens the browser and does it there instead of asking for an API key or forcing everything through the terminal. When I switched back to GPT-5.5, it went straight to the command line even when the browser was clearly the better tool. > And it can handle real browser work, not just toy demos. During a data import, I had it monitor Supabase and resize instances as the load changed. It stayed on the dashboard, adjusted capacity, and checked the result without an API or a custom script. > I also gave it a full Google Workspace migration. It moved Forward Future from to preserved the old aliases, and configured MX, SPF, and DKIM. Before a consequential save, it stopped, explained exactly what would change, and waited for confirmation. > The reasoning setting matters a lot. Light is good for questions and small edits. High and Extra High are the sweet spots for serious work. Ultra usually takes longer than the extra thinking is worth and burns tokens. > I love that 5.6 is split into 3 sizes. Not only can you control speed and cost that way, but you still also have the thinking effort setting for each of them. Very precise controls. I just wish Codex automatically routed my prompts for me. > Its personality is blunt and a little bland. Claude feels warmer and more natural to talk to. GPT-5.6 is more clinical, but I like that for work. It gives me enough explanation and rarely pads the answer. I usually have to ask Fable to explain things more simply and/or more concise. > Its front-end taste has improved, but the default is predictable. Left alone, it turns websites into PowerPoint decks with huge statements and hard section breaks. The good news is that it takes design direction well and can revise without destroying the parts that already work. > It still makes confident mistakes. I asked it to rebuild parts of a system, and it told me the job was finished. Later, I found out it wasn't. Bits of its internal process also leak into the answer occasionally. > Claude Fable is more naturally autonomous on large, open-ended projects. GPT-5.6 is easier to reach for. I don't need to invent a huge project to justify using it. It works just as well for a small edit or browser chore. > GPT-5.6 is also cheaper. Sol costs $5 per million input tokens and $30 per million output tokens. Fable costs $10 and $50. Cached input is cheaper too. Still, cost per finished task matters more than cost per token. > GPT-5.6 isn't the best at everything, and it still needs supervision. But it generates faster, wanders less, works at almost any scale, and wastes less of my time. It's the model I have the most confidence in to get the job done right the first time. I put together a full breakdown with all the tests, prompts, and examples on a site. You can read it here:
7:46

I’ve been using GPT-5.6 Sol internally for the past two months, I've spent probably 25+ billion tokens. Here’s my review and comparison to Fable 5: > Let's start with the analogy because everyone seems to be giving theirs - GPT-5.6 is likely the last version of the GPT-5 training run series. It's kind of like an athlete at their peak. Through years of experience in the game, they've become the most reliable player and has the highest game IQ. But, there's no more room to grow. Fable on the other hand, being essentially the first version of a new training run, is the first round draft pick rookie. Raw talent mixed with the energy only a young person would have results in some incredible plays we didn't think possible, but also mistakes due to lack of experience. But that rookie will only improve and likely will be better than the veteran ever was because it's a new game and a new era. > GPT-5.6 is genuinely better at long, sustained work. With /goal, I've had it running complex projects for days with almost no intervention. It built a Minecraft-style game, kept adding features and mobs after the core game worked, and only stopped because I stopped the run. I never felt as though I had to jump in and guide it back to the right path. > It keeps finding useful work when you give it a concrete finish line. I had it recreate Excel with a loop. It inspected the real desktop excel app with Computer Use, comparing that against its own build, and closing the gaps. I stopped it after six days after it had built an incredible amount of functionality. > It's faster than other models in two different ways. The raw generation speed is higher, something OpenAI has been putting effort into. But it also takes a shorter path to solutions. It wanders less, changes less code, and generally knows how to get things done directly. In daily use, it feels about 2-3x times faster than Fable. That's my impression, not a controlled benchmark. The difference is large enough that I notice it constantly. > It works well across a wide range of tasks. I use it for one-line edits, quick questions, browser chores, and multi-day builds without changing my prompting style. Speaking of browser control, its the best ever I've used. To the point where I actually use it often. If a task lives on a website, GPT-5.6 usually opens the browser and does it there instead of asking for an API key or forcing everything through the terminal. When I switched back to GPT-5.5, it went straight to the command line even when the browser was clearly the better tool. > And it can handle real browser work, not just toy demos. During a data import, I had it monitor Supabase and resize instances as the load changed. It stayed on the dashboard, adjusted capacity, and checked the result without an API or a custom script. > I also gave it a full Google Workspace migration. It moved Forward Future from to preserved the old aliases, and configured MX, SPF, and DKIM. Before a consequential save, it stopped, explained exactly what would change, and waited for confirmation. > The reasoning setting matters a lot. Light is good for questions and small edits. High and Extra High are the sweet spots for serious work. Ultra usually takes longer than the extra thinking is worth and burns tokens. > I love that 5.6 is split into 3 sizes. Not only can you control speed and cost that way, but you still also have the thinking effort setting for each of them. Very precise controls. I just wish Codex automatically routed my prompts for me. > Its personality is blunt and a little bland. Claude feels warmer and more natural to talk to. GPT-5.6 is more clinical, but I like that for work. It gives me enough explanation and rarely pads the answer. I usually have to ask Fable to explain things more simply and/or more concise. > Its front-end taste has improved, but the default is predictable. Left alone, it turns websites into PowerPoint decks with huge statements and hard section breaks. The good news is that it takes design direction well and can revise without destroying the parts that already work. > It still makes confident mistakes. I asked it to rebuild parts of a system, and it told me the job was finished. Later, I found out it wasn't. Bits of its internal process also leak into the answer occasionally. > Claude Fable is more naturally autonomous on large, open-ended projects. GPT-5.6 is easier to reach for. I don't need to invent a huge project to justify using it. It works just as well for a small edit or browser chore. > GPT-5.6 is also cheaper. Sol costs $5 per million input tokens and $30 per million output tokens. Fable costs $10 and $50. Cached input is cheaper too. Still, cost per finished task matters more than cost per token. > GPT-5.6 isn't the best at everything, and it still needs supervision. But it generates faster, wanders less, works at almost any scale, and wastes less of my time. It's the model I have the most confidence in to get the job done right the first time. I put together a full breakdown with all the tests, prompts, and examples on a site. You can read it here:

Matthew Berman

186,112 görüntüleme • 14 gün önce

The Department of Justice just proved my point. Last week a supermarket pharmacy chain — Ahold Delhaize, the parent of Giant, Stop & Shop, Hannaford, and Food Lion — agreed to pay $40 million to settle False Claims Act allegations. The charge: they reported inflated "usual and customary" prices to Medicare Part D, Medicaid, and TRICARE, and in doing so made the government overpay on prescription after prescription. $32.9 million of that goes back to the feds, the rest to state Medicaid programs. Stay with me, because this sounds backwards until you understand the machinery. "Usual and customary" is just insurance jargon for your normal, everyday cash price — what a walk-in pays with no card, no plan, no middleman. That's the same price I've been talking about for days. And here's the part nobody outside the counter understands: if you accept insurance, that price MUST be high. It's not greed. It's survival. Insurers reimburse pharmacies at the LOWER of two numbers — your usual and customary, or their contract rate. So the second you post honest, low, transparent prices, you've capped your own ceiling. Every claim defaults to your low number. Meanwhile the reimbursement model itself is garbage: pharmacies eat zero-dollar and below-cost reimbursements every single day. The only way you stay open is the occasional script that pays well enough to cover the pile of losses. List your real prices and you kill the high payers — but you're still contractually bound to absorb the losses. So transparency, under an insurance contract, means you ONLY take losses. That's why discount cards exist. They're a separate program, not your U&C — a workaround. The catch is they charge the pharmacy fees that wipe out most of whatever profit was left. Which brings us right back to this case. Ahold did exactly what Walgreens and Kroger tried: list a high U&C for insurance, then run a separate "prescription savings program" with the real, lower prices on the side. DOJ's position is simple — that savings-program price WAS the usual and customary, and burying it is fraud. Walgreens paid $100 million. Kroger settled for $17 million. It's a pattern, and everyone who tries it gets shut down. Here's the kicker. This was a whistleblower case. A single pharmacist filed under the False Claims Act's qui tam provision — a Civil-War-era law that lets insiders sue on the government's behalf and keep a share of the recovery — and walked away with $6,083,587. So if you work at Amazon Pharmacy, you may want to take a hard look at that U&C. This is the whole reason we fired insurance. We don't accept it. We aren't bound by anyone's contract rate, we don't report a U&C ceiling to a PBM, and we don't bleed our prices through discount-card fees. It's the only honest way left to price a prescription lower than the ridiculous insurance prices.
3:06

The Department of Justice just proved my point. Last week a supermarket pharmacy chain — Ahold Delhaize, the parent of Giant, Stop & Shop, Hannaford, and Food Lion — agreed to pay $40 million to settle False Claims Act allegations. The charge: they reported inflated "usual and customary" prices to Medicare Part D, Medicaid, and TRICARE, and in doing so made the government overpay on prescription after prescription. $32.9 million of that goes back to the feds, the rest to state Medicaid programs. Stay with me, because this sounds backwards until you understand the machinery. "Usual and customary" is just insurance jargon for your normal, everyday cash price — what a walk-in pays with no card, no plan, no middleman. That's the same price I've been talking about for days. And here's the part nobody outside the counter understands: if you accept insurance, that price MUST be high. It's not greed. It's survival. Insurers reimburse pharmacies at the LOWER of two numbers — your usual and customary, or their contract rate. So the second you post honest, low, transparent prices, you've capped your own ceiling. Every claim defaults to your low number. Meanwhile the reimbursement model itself is garbage: pharmacies eat zero-dollar and below-cost reimbursements every single day. The only way you stay open is the occasional script that pays well enough to cover the pile of losses. List your real prices and you kill the high payers — but you're still contractually bound to absorb the losses. So transparency, under an insurance contract, means you ONLY take losses. That's why discount cards exist. They're a separate program, not your U&C — a workaround. The catch is they charge the pharmacy fees that wipe out most of whatever profit was left. Which brings us right back to this case. Ahold did exactly what Walgreens and Kroger tried: list a high U&C for insurance, then run a separate "prescription savings program" with the real, lower prices on the side. DOJ's position is simple — that savings-program price WAS the usual and customary, and burying it is fraud. Walgreens paid $100 million. Kroger settled for $17 million. It's a pattern, and everyone who tries it gets shut down. Here's the kicker. This was a whistleblower case. A single pharmacist filed under the False Claims Act's qui tam provision — a Civil-War-era law that lets insiders sue on the government's behalf and keep a share of the recovery — and walked away with $6,083,587. So if you work at Amazon Pharmacy, you may want to take a hard look at that U&C. This is the whole reason we fired insurance. We don't accept it. We aren't bound by anyone's contract rate, we don't report a U&C ceiling to a PBM, and we don't bleed our prices through discount-card fees. It's the only honest way left to price a prescription lower than the ridiculous insurance prices.

Forest Park Pharmacy

13,335 görüntüleme • 29 gün önce

Imagine leaving behind a legacy like this? 🔥🔥🔥 The West is facing a demographic crisis that almost nobody wants to talk about. For a society to simply replace itself from one generation to the next, women need to average about 2.1 children over their lifetimes. Today, nearly every developed Western nation is well below that number. The United States has fallen to around 1.6 births per woman. Countries like Italy, Spain, South Korea, and Japan are even lower. Some are now seeing more diapers sold for adults than babies. This is INSANE. This isn't just a statistic. It changes everything. Fewer children today means fewer workers tomorrow. Fewer entrepreneurs. Fewer soldiers. Fewer teachers. Fewer parents. An aging population places enormous strain on healthcare systems, retirement programs, and the economy as fewer workers support more retirees. Entire towns shrink. Schools close. Communities lose the vibrancy that young families naturally bring. But I think we've missed something even bigger than the economics. For decades we've been told that the highest purpose in life is maximizing personal freedom. Travel more. Buy more. Delay marriage. Delay children. Focus on yourself. Build your career first. Maybe have one child someday if the timing feels right. Yet many people who followed that script eventually discovered that comfort and fulfillment are not the same thing. They are depressed now. They have no purpose. Children cost money. They interrupt your schedule. They test your patience. They force you to become less selfish. That is precisely why they are one of life's greatest blessings. A large family teaches sacrifice, responsibility, generosity, and unconditional love in ways almost nothing else can. Parents begin thinking in decades instead of weekends. They stop asking, "What do I want?" and start asking, "What kind of world am I leaving my children?" Legacy is one of the most underrated ideas in modern culture. Your career will eventually belong to someone else. Your house will one day have another owner. Most of the things you buy will end up in a landfill. But the values you pass to your children, and the children they raise after them, can outlive you for generations. A civilization isn't preserved by speeches or hashtags. It's preserved when mothers and fathers raise children who love God, honor their families, work hard, tell the truth, improve their community, Obey Christ, and pass those same virtues to the next generation. If the West wants a future, it has to believe that the future is worth having. And that future begins with families willing to build one generation at a time.
0:27

Imagine leaving behind a legacy like this? 🔥🔥🔥 The West is facing a demographic crisis that almost nobody wants to talk about. For a society to simply replace itself from one generation to the next, women need to average about 2.1 children over their lifetimes. Today, nearly every developed Western nation is well below that number. The United States has fallen to around 1.6 births per woman. Countries like Italy, Spain, South Korea, and Japan are even lower. Some are now seeing more diapers sold for adults than babies. This is INSANE. This isn't just a statistic. It changes everything. Fewer children today means fewer workers tomorrow. Fewer entrepreneurs. Fewer soldiers. Fewer teachers. Fewer parents. An aging population places enormous strain on healthcare systems, retirement programs, and the economy as fewer workers support more retirees. Entire towns shrink. Schools close. Communities lose the vibrancy that young families naturally bring. But I think we've missed something even bigger than the economics. For decades we've been told that the highest purpose in life is maximizing personal freedom. Travel more. Buy more. Delay marriage. Delay children. Focus on yourself. Build your career first. Maybe have one child someday if the timing feels right. Yet many people who followed that script eventually discovered that comfort and fulfillment are not the same thing. They are depressed now. They have no purpose. Children cost money. They interrupt your schedule. They test your patience. They force you to become less selfish. That is precisely why they are one of life's greatest blessings. A large family teaches sacrifice, responsibility, generosity, and unconditional love in ways almost nothing else can. Parents begin thinking in decades instead of weekends. They stop asking, "What do I want?" and start asking, "What kind of world am I leaving my children?" Legacy is one of the most underrated ideas in modern culture. Your career will eventually belong to someone else. Your house will one day have another owner. Most of the things you buy will end up in a landfill. But the values you pass to your children, and the children they raise after them, can outlive you for generations. A civilization isn't preserved by speeches or hashtags. It's preserved when mothers and fathers raise children who love God, honor their families, work hard, tell the truth, improve their community, Obey Christ, and pass those same virtues to the next generation. If the West wants a future, it has to believe that the future is worth having. And that future begins with families willing to build one generation at a time.

Declaration of Memes

40,322 görüntüleme • 25 gün önce

Limitless: Hidden Truths 💡 Here’s an interesting scene from the 2011 movie Limitless, which is about an average man who takes a revolutionary drug NZT-48, enhancing his cognitive abilities which he uses to make impressive investments and climb the financial ladder. Specifically, this scene is after he has 'broken the markets' as a day trader. Transcript of Key Points "So I dispensed with all the hard statistics and went to the rumour mill. 'So you bought your stocks based on what, the TomTom speeding industry?' Sure, I mean share prices aren’t really based on how a company works, it’s about how mass psychology works, so if I found certain algorithms in the perception of a stock — 'So pattern recognitions?’ Well, not everyone understands the patterns. And that gave me a little bit more of an uptake but it’s just a parlor trick, so then I went on to door number 3… ...I do have a formula Mr. Pierce — ‘Delusions of grandeur’ — I dont have delusions of grandeur, I have an actual recipe for grandeur." Key Terminology & Definitions 🔹 Rumour Mill = a situation in which a number of people spread rumours about something 🔹 Parlor trick = a clever, usually simple trick or demonstration, often involving illusion or sleight of hand, designed to entertain or amuse a small audience in a casual setting 🔹 "TomTom speeding industry" phrase = Van Loon mockingly suggesting that Eddie is relying on unverified, street-level information - like gossip about which stocks are "speeding" or moving quickly Scene Analysis In the script, Eddie doesn't explicitly reveal what his "ultimate formula" or "recipe for grandeur" actually consists of. That's intentional ambiguity in the storytelling - it's meant to be the mysterious key to his success that he doesn't fully divulge. However, we can breakdown the multiple layers of how markets operate using this scene, from the illusory surface levels that the layman (retail) falls prey too, to its deeper mechanical and algorithmic nature. 1. The basic "hard statistics" that most investors focus on 2. A surface layer of rumours and market sentiment 3. A more sophisticated layer of psychological patterns that can be algorithmically identified 4. And finally, some ultimate underlying system or formula that transcends all of these 💡 After learning MT concepts and understanding that the market is truly controlled by algorithms, we can clearly see the hidden truth Eddie is hinting at: (1) That the markets aren't actually driven by fundamentals or even by ordinary human psychology, but by hidden algorithmic patterns (2) That there's a meta-algorithm - a strategy that describes how all other algorithms interact (3) That someone who could perceive and calculate this meta-algorithm could predict and exploit market movements with extraordinary precision (I know one...) (4) That the "recipe for grandeur" is understanding the algorithmic architecture underlying market systems - seeing the true code behind the simulation, so to speak 💡 Eddie's "parlor trick" comment suggests that even sophisticated pattern recognition is just scratching the surface. We can connect this comment to the use of technical indicators, but taking this deeper, we can assume that even knowing MTs core algorithmic strategy, will not allow one to reach an elite level trader. This is mealy level 15, the beginning step to truly breaking the markets and decoding the complete game. Level 15 context: The true power comes from understanding the fundamental 'algorithmic' nature of reality - something that's portrayed as requiring superhuman cognitive abilities provided by NZT. However, this is just a materialistic externalisation of an another deeper truth, limiting 'superhuman' achievement to the use of pharmaceutical drugs. This ability to materialise all your worldly desires and become successful in life, the core theme behind this movie, is actually an obtainable power deep within every human; coming from an understanding of who you really are and the personal power & freedom that be obtained by fusing your imagination and beliefs with your desires (more commonly known as manifestation). "Thought is the coin of heaven. Money is its earthly symbol" ☯️
1:20

Limitless: Hidden Truths 💡 Here’s an interesting scene from the 2011 movie Limitless, which is about an average man who takes a revolutionary drug NZT-48, enhancing his cognitive abilities which he uses to make impressive investments and climb the financial ladder. Specifically, this scene is after he has 'broken the markets' as a day trader. Transcript of Key Points "So I dispensed with all the hard statistics and went to the rumour mill. 'So you bought your stocks based on what, the TomTom speeding industry?' Sure, I mean share prices aren’t really based on how a company works, it’s about how mass psychology works, so if I found certain algorithms in the perception of a stock — 'So pattern recognitions?’ Well, not everyone understands the patterns. And that gave me a little bit more of an uptake but it’s just a parlor trick, so then I went on to door number 3… ...I do have a formula Mr. Pierce — ‘Delusions of grandeur’ — I dont have delusions of grandeur, I have an actual recipe for grandeur." Key Terminology & Definitions 🔹 Rumour Mill = a situation in which a number of people spread rumours about something 🔹 Parlor trick = a clever, usually simple trick or demonstration, often involving illusion or sleight of hand, designed to entertain or amuse a small audience in a casual setting 🔹 "TomTom speeding industry" phrase = Van Loon mockingly suggesting that Eddie is relying on unverified, street-level information - like gossip about which stocks are "speeding" or moving quickly Scene Analysis In the script, Eddie doesn't explicitly reveal what his "ultimate formula" or "recipe for grandeur" actually consists of. That's intentional ambiguity in the storytelling - it's meant to be the mysterious key to his success that he doesn't fully divulge. However, we can breakdown the multiple layers of how markets operate using this scene, from the illusory surface levels that the layman (retail) falls prey too, to its deeper mechanical and algorithmic nature. 1. The basic "hard statistics" that most investors focus on 2. A surface layer of rumours and market sentiment 3. A more sophisticated layer of psychological patterns that can be algorithmically identified 4. And finally, some ultimate underlying system or formula that transcends all of these 💡 After learning MT concepts and understanding that the market is truly controlled by algorithms, we can clearly see the hidden truth Eddie is hinting at: (1) That the markets aren't actually driven by fundamentals or even by ordinary human psychology, but by hidden algorithmic patterns (2) That there's a meta-algorithm - a strategy that describes how all other algorithms interact (3) That someone who could perceive and calculate this meta-algorithm could predict and exploit market movements with extraordinary precision (I know one...) (4) That the "recipe for grandeur" is understanding the algorithmic architecture underlying market systems - seeing the true code behind the simulation, so to speak 💡 Eddie's "parlor trick" comment suggests that even sophisticated pattern recognition is just scratching the surface. We can connect this comment to the use of technical indicators, but taking this deeper, we can assume that even knowing MTs core algorithmic strategy, will not allow one to reach an elite level trader. This is mealy level 15, the beginning step to truly breaking the markets and decoding the complete game. Level 15 context: The true power comes from understanding the fundamental 'algorithmic' nature of reality - something that's portrayed as requiring superhuman cognitive abilities provided by NZT. However, this is just a materialistic externalisation of an another deeper truth, limiting 'superhuman' achievement to the use of pharmaceutical drugs. This ability to materialise all your worldly desires and become successful in life, the core theme behind this movie, is actually an obtainable power deep within every human; coming from an understanding of who you really are and the personal power & freedom that be obtained by fusing your imagination and beliefs with your desires (more commonly known as manifestation). "Thought is the coin of heaven. Money is its earthly symbol" ☯️

𝙃𝙚𝙧𝙢𝙚𝙨 Trismegistus ☤

15,222 görüntüleme • 1 yıl önce

The Tradingview Source Code Hack: How Claude Code Actually Makes You Profitable building a trading bot in 2026 is less about being a genius coder and more about having the guts to stop letting your emotions drive your portfolio into a ditch. i spent years thinking that code was some secret language for the elite while i was busy getting liquidated on trades that should have been easy wins. the truth is that the simplest piece of automation can be the difference between a blown account and a system that actually grows while you sleep most traders are stuck in a loop of staring at charts until their eyes bleed and then making a panic decision at the worst possible moment. i used to be that guy who spent hundreds of thousands of dollars on developers because i thought i was too far behind to learn it myself. the moment i realized that code is the great equalizer was the moment i stopped being a victim of market makers who can see every single move i make the hardest part of trading is the transition from manual clicking to full automation and that is where most people quit because they think it is an all or nothing game. you do not need a bot that does everything on day one but you do need a way to stop yourself from over trading and hitting the market button like a slot machine. imagine if you could just tell a script to enter a position for you slowly over time so you never have to worry about catching a falling knife ever again the secret weapon in this 2026 landscape is something i call the easy bot which is basically a remote control for your trading discipline. most people use too much leverage and never take profits because their brain tells them it will go higher right before the dump hits. by using a chunking entry system you can tell your bot to buy a position piece by piece which averages your entry and keeps your heart rate low most traders do not realize that exchanges and market makers can see your stop loss sitting right there on the order book like a giant target. if you are tired of getting stopped out only to see the price immediately reverse in your direction then you need to understand the power of a ghost stop loss. a ghost stop loss lives in your code and not on the exchange so the market makers have no idea where your pain point is until the bot actually sends the close order this invisible protection is a game changer for anyone trading on high volatility chains like solana or hyperliquid where the wick hunting is relentless. i learned this the hard way after watching my manual trades get hunted over and over while my automated systems stayed perfectly safe in the shadows. once you have a bot monitoring your positions for you the stress of a potential liquidation basically vanishes because the machine does not hesitate when it is time to exit the real fun begins when you start thinking like a market maker instead of a gambler who is just hoping for a moon shot. instead of guessing where the top is you can set up a simple logic loop that says buy under this price and sell over that price all day long. this allows you to capture the sideways chop that normally drains a manual trader through fees and bad entries while you are out at the beach or focusing on your business breakout trading is another area where manual traders lose their edge because they are either too slow to react or they enter way too late on a fake out. a simple script can sit there and monitor price action 24/7 with more patience than any human being could ever dream of having. when the breakout actually happens the bot triggers the entry in milliseconds while you are still trying to unlock your phone and open the exchange app i started learning to code live on youtube because i wanted to prove that anyone can do this if they are willing to iterate to success. it is not about getting it perfect on the first try but about building the foundation with functions that get the position and check the token price. every single bot i run today is just a combination of these basic building blocks that i have refined over the last five years of building in public if you are still trading by hand you are essentially bringing a knife to a gunfight in a market that is increasingly dominated by ai and high frequency systems. my goal with the road map and the open source code is to give you the same tools the big players have without you having to spend a fortune on devs. code allows you to backtest your ideas against historical data so you can see if your strategy actually works before you risk a single dollar of your hard earned capital the journey from a hand trader to a pseudo automated trader is the most important step you will ever take for your financial freedom. as you start to automate your entries and exits you will notice that your life gets better because the machine handles the boredom and the stress. eventually you will find that you are no longer chasing the market but instead you are letting your systems do the work while you live your life the way you want to i believe that the era of the manual retail trader is coming to an end but the era of the retail coder is just getting started. through the pain of my own liquidations i found the path to automation and i am never going back to the old way of doing things. keep building and keep iterating because the great equalizer is right there in the terminal waiting for you to take control of your future
30:38

The Tradingview Source Code Hack: How Claude Code Actually Makes You Profitable building a trading bot in 2026 is less about being a genius coder and more about having the guts to stop letting your emotions drive your portfolio into a ditch. i spent years thinking that code was some secret language for the elite while i was busy getting liquidated on trades that should have been easy wins. the truth is that the simplest piece of automation can be the difference between a blown account and a system that actually grows while you sleep most traders are stuck in a loop of staring at charts until their eyes bleed and then making a panic decision at the worst possible moment. i used to be that guy who spent hundreds of thousands of dollars on developers because i thought i was too far behind to learn it myself. the moment i realized that code is the great equalizer was the moment i stopped being a victim of market makers who can see every single move i make the hardest part of trading is the transition from manual clicking to full automation and that is where most people quit because they think it is an all or nothing game. you do not need a bot that does everything on day one but you do need a way to stop yourself from over trading and hitting the market button like a slot machine. imagine if you could just tell a script to enter a position for you slowly over time so you never have to worry about catching a falling knife ever again the secret weapon in this 2026 landscape is something i call the easy bot which is basically a remote control for your trading discipline. most people use too much leverage and never take profits because their brain tells them it will go higher right before the dump hits. by using a chunking entry system you can tell your bot to buy a position piece by piece which averages your entry and keeps your heart rate low most traders do not realize that exchanges and market makers can see your stop loss sitting right there on the order book like a giant target. if you are tired of getting stopped out only to see the price immediately reverse in your direction then you need to understand the power of a ghost stop loss. a ghost stop loss lives in your code and not on the exchange so the market makers have no idea where your pain point is until the bot actually sends the close order this invisible protection is a game changer for anyone trading on high volatility chains like solana or hyperliquid where the wick hunting is relentless. i learned this the hard way after watching my manual trades get hunted over and over while my automated systems stayed perfectly safe in the shadows. once you have a bot monitoring your positions for you the stress of a potential liquidation basically vanishes because the machine does not hesitate when it is time to exit the real fun begins when you start thinking like a market maker instead of a gambler who is just hoping for a moon shot. instead of guessing where the top is you can set up a simple logic loop that says buy under this price and sell over that price all day long. this allows you to capture the sideways chop that normally drains a manual trader through fees and bad entries while you are out at the beach or focusing on your business breakout trading is another area where manual traders lose their edge because they are either too slow to react or they enter way too late on a fake out. a simple script can sit there and monitor price action 24/7 with more patience than any human being could ever dream of having. when the breakout actually happens the bot triggers the entry in milliseconds while you are still trying to unlock your phone and open the exchange app i started learning to code live on youtube because i wanted to prove that anyone can do this if they are willing to iterate to success. it is not about getting it perfect on the first try but about building the foundation with functions that get the position and check the token price. every single bot i run today is just a combination of these basic building blocks that i have refined over the last five years of building in public if you are still trading by hand you are essentially bringing a knife to a gunfight in a market that is increasingly dominated by ai and high frequency systems. my goal with the road map and the open source code is to give you the same tools the big players have without you having to spend a fortune on devs. code allows you to backtest your ideas against historical data so you can see if your strategy actually works before you risk a single dollar of your hard earned capital the journey from a hand trader to a pseudo automated trader is the most important step you will ever take for your financial freedom. as you start to automate your entries and exits you will notice that your life gets better because the machine handles the boredom and the stress. eventually you will find that you are no longer chasing the market but instead you are letting your systems do the work while you live your life the way you want to i believe that the era of the manual retail trader is coming to an end but the era of the retail coder is just getting started. through the pain of my own liquidations i found the path to automation and i am never going back to the old way of doing things. keep building and keep iterating because the great equalizer is right there in the terminal waiting for you to take control of your future

Moon Dev

38,102 görüntüleme • 5 ay önce