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Useful tools

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142,851 次观看 • 2 个月前 •via X (Twitter)

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My Prediction Market Tools list + Trading Workflow A) Tools I use: - Betmoar: Filtering + Analysing specific smart money wallets - HashDive - Prediction Market Analytics: Spotting volume and OI changes + whale flows - Polymarket Analytics: Comparing markets across different Prediction Markets - Polycule: Trading on the go - Polysights: Advanced Metrics related to volatility and trends B) My workflow: 1) I usually trade sports + crypto price prediction markets since I have some kind of expertise there 2) I use Betmoar to filter and find interesting markets. Try to enter new markets as early as possible since there are significant mispricings 3) I then use Hashdive to see what OI changes and whale flows are like for a particular market 4) Polymarket Analytics to compare markets across PM and Kalshi to see where I can get the best price 5) Trade directly through PM and Kalshi for now to execute if im on my laptop and Polycule when I'm not 6) I also check in daily on smart money wallets I follow on BetMoar to see if they've made any interesting trades recently I don't focus on Arbitrage, LPing or delta-neutral trades at all. Prefer to either take directional trades where I have an information edge or I'm early Sometimes I'll 'gamble' on sports markets because it's fun C) Takeaways for you: - Only trade in markets you have in-depth knowledge/edge - Being early is lucrative in prediction markets - Pro tools can save you hours trying to find alpha - Don't use too many tools. Use a few and master them instead - Everyone has their own process. Don't copy mine it won't work for you. The point of this tweet was to educate you on how you can build your own process LMK if there's any other useful tools I should check out that could optimise my workflow further!

My Prediction Market Tools list + Trading Workflow A) Tools I use: - Betmoar: Filtering + Analysing specific smart money wallets - HashDive - Prediction Market Analytics: Spotting volume and OI changes + whale flows - Polymarket Analytics: Comparing markets across different Prediction Markets - Polycule: Trading on the go - Polysights: Advanced Metrics related to volatility and trends B) My workflow: 1) I usually trade sports + crypto price prediction markets since I have some kind of expertise there 2) I use Betmoar to filter and find interesting markets. Try to enter new markets as early as possible since there are significant mispricings 3) I then use Hashdive to see what OI changes and whale flows are like for a particular market 4) Polymarket Analytics to compare markets across PM and Kalshi to see where I can get the best price 5) Trade directly through PM and Kalshi for now to execute if im on my laptop and Polycule when I'm not 6) I also check in daily on smart money wallets I follow on BetMoar to see if they've made any interesting trades recently I don't focus on Arbitrage, LPing or delta-neutral trades at all. Prefer to either take directional trades where I have an information edge or I'm early Sometimes I'll 'gamble' on sports markets because it's fun C) Takeaways for you: - Only trade in markets you have in-depth knowledge/edge - Being early is lucrative in prediction markets - Pro tools can save you hours trying to find alpha - Don't use too many tools. Use a few and master them instead - Everyone has their own process. Don't copy mine it won't work for you. The point of this tweet was to educate you on how you can build your own process LMK if there's any other useful tools I should check out that could optimise my workflow further!

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zkgm Union family After accidentally causing chaos between yappers and testers with the leaderboard last week (didn’t mean to I swear😅) ended up building something new again. Union Mainnet Dashboard 🔗 Where you can: 📊 See total volume bridged 📆 Track active days 📜 View full transaction history If you're actively bridging or just curious about your onchain activity, this dashboard might actually be pretty useful especially for the real clickers. it’s been fun building tools that actually help people navigate the Union ecosystem better. To everyone who’s been sharing, testing and supporting I see you. Truly grateful 🙏 Tagging some union chads Ufuk 0______0 Rempo Goku Badman

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12,355 次观看 • 1 年前

a fun workflow for prepping a talk: > record a draft video without a script > have Claude Code turn the video into a Notion page with slides + transcript of what I said > ask people for feedback on the video; Claude processes their notes and attaches things as inline comments in the relevant spots > read through the page, manually edit to refine the wording of what I want to say Crucially, I'm in creative control. AI is *not* writing the talk for me in any way! It's providing tools that make it easier for me to think together with my team. h/t Thariq for inspiration, his video editing workflow got me thinking about how useful coding agents can be for video processing

a fun workflow for prepping a talk: > record a draft video without a script > have Claude Code turn the video into a Notion page with slides + transcript of what I said > ask people for feedback on the video; Claude processes their notes and attaches things as inline comments in the relevant spots > read through the page, manually edit to refine the wording of what I want to say Crucially, I'm in creative control. AI is not writing the talk for me in any way! It's providing tools that make it easier for me to think together with my team. h/t Thariq for inspiration, his video editing workflow got me thinking about how useful coding agents can be for video processing

Geoffrey Litt

55,614 次观看 • 22 天前

today in Hell Yeah Technology: an uncle of mine recently had a stroke he was at dinner with his family, making them laugh as usual. when they got home, he told his wife he was feeling “off.” by morning, he physically couldn’t get out of bed after being in a vegetative state for weeks, he’s conscious and doing a little better, but doctors say it’s unlikely he’ll ever speak or walk again thankfully, somehow, his dominant arm still works - so to make communication less frustrating for everyone involved, i built this local, iPad-first communication board for him with text-to-speech one of theee simplest, most important tools i’ve ever made being able to create something useful for a specific person’s needs, without any fluff, in a single sitting, is just unreal

today in Hell Yeah Technology: an uncle of mine recently had a stroke he was at dinner with his family, making them laugh as usual. when they got home, he told his wife he was feeling “off.” by morning, he physically couldn’t get out of bed after being in a vegetative state for weeks, he’s conscious and doing a little better, but doctors say it’s unlikely he’ll ever speak or walk again thankfully, somehow, his dominant arm still works - so to make communication less frustrating for everyone involved, i built this local, iPad-first communication board for him with text-to-speech one of theee simplest, most important tools i’ve ever made being able to create something useful for a specific person’s needs, without any fluff, in a single sitting, is just unreal

‎ 〰️

27,677 次观看 • 2 个月前

GPT-5.5 is MUCH more reliable on longer running tasks - for the first time with any model. As we speak I have a migration running for over 7+ hours - this literally never happened before, the models would maybe run for 30 mins or of you really shout at them for 2-3 hours. Last night I went to sleep, set a long running task, then queued up 10 prompts to 'keep it going'. It did not stop after the first prompt and kept going for 8+ hours and I woke up to all the same prompts still queued up. The ability to run for a long time, in combination with ability to validate with computer use & other tools, makes it much more useful for building real applications.

GPT-5.5 is MUCH more reliable on longer running tasks - for the first time with any model. As we speak I have a migration running for over 7+ hours - this literally never happened before, the models would maybe run for 30 mins or of you really shout at them for 2-3 hours. Last night I went to sleep, set a long running task, then queued up 10 prompts to 'keep it going'. It did not stop after the first prompt and kept going for 8+ hours and I woke up to all the same prompts still queued up. The ability to run for a long time, in combination with ability to validate with computer use & other tools, makes it much more useful for building real applications.

Peter Gostev

105,642 次观看 • 3 个月前

Introducing RL Environment Creator Skill Now any one can create RL environments $ npx skills add adithya-s-k/RL_Envs_101 > You can create environments across multiple frameworks like OpenEnv, OpenReward, Verifiers, NemoGym ... > the repo has live working examples of environments that your coding agent can reference > The skill is design to first understand what type of model you are training and create an environment while keeping that in mind ps. There’s a lot more to building RL environments that can be used for training. One major aspect is the data, which this skill can’t directly solve. However, the skill will help with implementing tools, rewards, and other components of an RL environment, making it easier to go from idea to implementation quickly across different frameworks. Let me know if you’d be interested in a detailed, end-to-end blog/tutorial on building an environment and actually training a model for a useful use case.

Introducing RL Environment Creator Skill Now any one can create RL environments $ npx skills add adithya-s-k/RL_Envs_101 > You can create environments across multiple frameworks like OpenEnv, OpenReward, Verifiers, NemoGym ... > the repo has live working examples of environments that your coding agent can reference > The skill is design to first understand what type of model you are training and create an environment while keeping that in mind ps. There’s a lot more to building RL environments that can be used for training. One major aspect is the data, which this skill can’t directly solve. However, the skill will help with implementing tools, rewards, and other components of an RL environment, making it easier to go from idea to implementation quickly across different frameworks. Let me know if you’d be interested in a detailed, end-to-end blog/tutorial on building an environment and actually training a model for a useful use case.

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46,556 次观看 • 2 个月前