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The token maxxing hype is over 80% waste. We pulled data from our customer spend analysis across 2,444 companies and found something uncomfortable. For every $1 spent on AI tokens, only $0.18 actually reaches the product. The other $0.82 breaks down like this: $0.44 goes into fixing bugs the... show more

Aiswarya Sankar

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14,708 views • 1 month ago •via X (Twitter)

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$THIS GUY AUDITED 926 CLAUDE CODE SESSIONS AND FOUND MOST OF THE TOKEN WASTE WAS ON HIS SIDE everyone is blaming anthropic for the limits, so he decided to actually look at the data 858 sessions, 18,903 turns, and $1,619 estimated spend across 33 days here's what he found: 1\ one default setting was burning 14,000 tokens per turn Claude Code loads the full JSON schema for every tool into context at session start. whether you use them or not. 20,000 tokens of tool definitions sitting there on every single turn. the fix: one line in your settings.json "ENABLE_TOOL_SEARCH": "true" context dropped from 45K to 20K instantly. across 858 sessions that one setting was wasting an estimated 264 million tokens 2\ cache expiry is the single biggest waste 54% of his turns came after a 5+ minute idle gap. every one of those turns re-processed the entire conversation at full price which caused a 10x cost jump you go grab coffee. come back 5 minutes later. type your next message. everything rebuilds from scratch. the context didn't change. you didn't change. the cache just expired. 12.3 million tokens wasted on idle gaps alone 3\ 42 skills loaded. 19 of them used twice or less across 858 sessions. every one of those skill schemas sat in context on every turn eating tokens for nothing. 4\ 1,122 redundant file reads where the same file was read 3+ times one session read the same file 33 times. he ALSO built a full token auditor dashboard that shows you exactly where your waste is coming from 19 charts, opens in your browser, free AND open source$

THIS GUY AUDITED 926 CLAUDE CODE SESSIONS AND FOUND MOST OF THE TOKEN WASTE WAS ON HIS SIDE everyone is blaming anthropic for the limits, so he decided to actually look at the data 858 sessions, 18,903 turns, and $1,619 estimated spend across 33 days here's what he found: 1\ one default setting was burning 14,000 tokens per turn Claude Code loads the full JSON schema for every tool into context at session start. whether you use them or not. 20,000 tokens of tool definitions sitting there on every single turn. the fix: one line in your settings.json "ENABLE_TOOL_SEARCH": "true" context dropped from 45K to 20K instantly. across 858 sessions that one setting was wasting an estimated 264 million tokens 2\ cache expiry is the single biggest waste 54% of his turns came after a 5+ minute idle gap. every one of those turns re-processed the entire conversation at full price which caused a 10x cost jump you go grab coffee. come back 5 minutes later. type your next message. everything rebuilds from scratch. the context didn't change. you didn't change. the cache just expired. 12.3 million tokens wasted on idle gaps alone 3\ 42 skills loaded. 19 of them used twice or less across 858 sessions. every one of those skill schemas sat in context on every turn eating tokens for nothing. 4\ 1,122 redundant file reads where the same file was read 3+ times one session read the same file 33 times. he ALSO built a full token auditor dashboard that shows you exactly where your waste is coming from 19 charts, opens in your browser, free AND open source

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40,106 views • 10 months ago

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Skely

47,617 views • 5 months ago

Lightspeed's Bucky Moore says the real opportunity in the AI app layer is in large industries far enough afield from where the model providers are today — and where the context engineering to get customer data into the model is extremely nuanced and messy. "I think this is kind of the elephant in the room right now — whether post-training open-source models combined with the unique user feedback you get from being an application provider is defensible enough." "That is going to be an inevitable challenge for any of these industries that hit a maturation point of AI adoption, like legal and software engineering have." "But on the other hand, there are some industries where they're very large, they're far enough afield from where the model providers are today — and probably will continue to be — and the context engineering to actually get the customer data into the model is just so messy. It requires going across different business functions, it requires a lot of hands-on forward-deployed engineering." "Those are the kind of companies that we get really excited about. Because I think being really good at that is not only defensible, but it also allows you to generate a feedback loop with your customers, where you hear a lot of their secrets. And those secrets allow you to feed that back into how you make your product better at the expense of anyone else playing in the space. Because if you're serving the customer, they're only serving you those secrets." "I think Palantir is a good example of this in the pre-AI era, and I think we're going to see many companies ascend in that same way."

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TBPN

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51,706 views • 1 year ago

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In our $KGN earnings call today, it sounded like it's David Shafer and I presenting but it wasn't. Our voices were AI generated and read the script. We uploaded several hours of our prior talks to train our voice model and the results were pretty incredible. This saved us a few hours preparation - valuable time we could spend working on other areas of the business. This is an example of the many one percenters across our business where AI is making us more efficient and helping the team be more productive. Our marketing team uses it to improve our content and make it more enaging. Our Engineering team uses it to get more context of our entire code base quicker and produce production ready code more rapidly. Our purchasing teams are using it for data and trend analysis to bring the latest products to our customers at even better prices. The list goes on. While the productivity gains are exciting, what's even more exciting is the pace at which things are changing and the technology is getting better!

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814,106 views • 10 months ago

We are excited to announce a powerful step for the future of FOMO! Taking a page out of Virtuals book on BASE, FOMO will be releasing the ability for future projects to be paired in $FOMO in the coming weeks. This is the biggest release we have ever announced. Launch your AI Agent Token + $FOMO trading pair Every individual agent token is paired with the $FOMO token in its liquidity pool. When launching an agent on you will need $FOMO tokens, which are used to create the liquidity pool. This process creates deflationary pressure for FOMO and the entire agent ecosystem. When creating your agent and token, you will have the option to pair your launch with FOMO or SOL, as our goal is not to alienate any project, but rather invite the best communities, CTO’s and builders to launch with us. If you decide to pair your project with FOMO you in turn get full marketing and dev support, once your project graduates the bonding curve and reaches Raydium. Further, as an added incentive, as our revenue grows we will be using part of the funds to support projects that have paired in FOMO. And Devs who launch tokens paired in FOMO will earn fees from their AI Agent token launch. Building the most robust agents using our framework will catapult us as one of the most prominent standards of the Solana ecosystem. Not only have we developed our own core infrastructure, but we also pull from some of the best repo’s and developer talent in all of AI, not just blockchain. Our team is comprised of 9 world class artificial intelligence engineers, PHDs in mathematics and engineering from the top companies on the cutting edge of AI. The future of AI Agents will be on Solana and we will help lead the way.

We are excited to announce a powerful step for the future of FOMO! Taking a page out of Virtuals book on BASE, FOMO will be releasing the ability for future projects to be paired in $FOMO in the coming weeks. This is the biggest release we have ever announced. Launch your AI Agent Token + $FOMO trading pair Every individual agent token is paired with the $FOMO token in its liquidity pool. When launching an agent on you will need $FOMO tokens, which are used to create the liquidity pool. This process creates deflationary pressure for FOMO and the entire agent ecosystem. When creating your agent and token, you will have the option to pair your launch with FOMO or SOL, as our goal is not to alienate any project, but rather invite the best communities, CTO’s and builders to launch with us. If you decide to pair your project with FOMO you in turn get full marketing and dev support, once your project graduates the bonding curve and reaches Raydium. Further, as an added incentive, as our revenue grows we will be using part of the funds to support projects that have paired in FOMO. And Devs who launch tokens paired in FOMO will earn fees from their AI Agent token launch. Building the most robust agents using our framework will catapult us as one of the most prominent standards of the Solana ecosystem. Not only have we developed our own core infrastructure, but we also pull from some of the best repo’s and developer talent in all of AI, not just blockchain. Our team is comprised of 9 world class artificial intelligence engineers, PHDs in mathematics and engineering from the top companies on the cutting edge of AI. The future of AI Agents will be on Solana and we will help lead the way.

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129,866 views • 1 year ago

Spectre AI’s founder steps in front of the camera for Y Combinator . As part of our Y Combinator Summer Batch 2026 application, our founder Sunny Enzo recorded a founder video walking through the Spectre AI app and the direction of the company. Sunny is doxxed, but this is the first time he is appearing on video to speak directly about Spectre AI, the product, and the market intelligence layer we are building. Due to YC’s time format, the video only shows around 5 to 6 features from an ecosystem with 100+ features already built or in progress. A full Spectre AI walkthrough would need far more time. Still, it gives a clear look at where we are heading: AI market intelligence, on-chain data, social intelligence, real-time context, and a cleaner way to understand financial markets through one platform. Another step in taking Spectre AI from product delivery into serious company building.

Spectre AI’s founder steps in front of the camera for Y Combinator . As part of our Y Combinator Summer Batch 2026 application, our founder Sunny Enzo recorded a founder video walking through the Spectre AI app and the direction of the company. Sunny is doxxed, but this is the first time he is appearing on video to speak directly about Spectre AI, the product, and the market intelligence layer we are building. Due to YC’s time format, the video only shows around 5 to 6 features from an ecosystem with 100+ features already built or in progress. A full Spectre AI walkthrough would need far more time. Still, it gives a clear look at where we are heading: AI market intelligence, on-chain data, social intelligence, real-time context, and a cleaner way to understand financial markets through one platform. Another step in taking Spectre AI from product delivery into serious company building.

SPECTRE AI

17,420 views • 1 month ago

Last week $TEAM outlined a new AI bull case for SaaS, as a source of context to generate better, faster, cheaper AI outcomes. Atlassian demod how Claude Code by itself underperformed an identical instance of Claude Code, on an identical prompt, when the other instance had access to their Teamwork Graph (TWG) which has access to past project files, messages, documents, code bases, employee data, and system integrations (slack, outlook, etc). The added context pointed Claude to the right information to solve the task faster, whereas the instance without context thought more, read more, hallucinated, and got the task incorrect after spending 2x more tokens and running an extra minute. Since token spend is quickly becoming many multiples of traditional software cost for coding use cases (Jira at $10-12/seat vs Anthropic spend per seat in the several hundreds a month), Atlassian makes a compelling case that context pays for itself many times over by helping customers to get more value out of their expensive AI tokens. $MSFT easily has the strongest advantage as a source of differentiated context. Video worth watching.

Last week $TEAM outlined a new AI bull case for SaaS, as a source of context to generate better, faster, cheaper AI outcomes. Atlassian demod how Claude Code by itself underperformed an identical instance of Claude Code, on an identical prompt, when the other instance had access to their Teamwork Graph (TWG) which has access to past project files, messages, documents, code bases, employee data, and system integrations (slack, outlook, etc). The added context pointed Claude to the right information to solve the task faster, whereas the instance without context thought more, read more, hallucinated, and got the task incorrect after spending 2x more tokens and running an extra minute. Since token spend is quickly becoming many multiples of traditional software cost for coding use cases (Jira at $10-12/seat vs Anthropic spend per seat in the several hundreds a month), Atlassian makes a compelling case that context pays for itself many times over by helping customers to get more value out of their expensive AI tokens. $MSFT easily has the strongest advantage as a source of differentiated context. Video worth watching.

SouthernValue

30,986 views • 1 month ago

$AI shouldn’t be controlled by a single company or person, and the reason why most AI tools are "free" is because you are the product. Your data is more valuable to them, than the tool itself. That's why Action Model is different. We use tokens so: • Every AI action has a real cost • That cost is transparent • Value flows back to contributors, not one corporation The token represents a fractional stake in the AI itself; economic rights, governance rights, and participation in its growth. And that’s how you run AI without centralized control.$

AI shouldn’t be controlled by a single company or person, and the reason why most AI tools are "free" is because you are the product. Your data is more valuable to them, than the tool itself. That's why Action Model is different. We use tokens so: • Every AI action has a real cost • That cost is transparent • Value flows back to contributors, not one corporation The token represents a fractional stake in the AI itself; economic rights, governance rights, and participation in its growth. And that’s how you run AI without centralized control.

Action Model

46,884 views • 4 months ago

🩺🚀 SUI DeSci Agents is excited to introduce the #AI Medical Image Diagnosis Agent, an integral part of our #AI Longevity Assistant! This cutting-edge tool, within our wide product suite, is designed to onboard millions of longevity enthusiasts into the SUI $DeSci ecosystem while driving organic growth for the AI agents launched on our platform. 📊 How it works: - Upload X-rays, CT scans, MRIs, ultrasounds, etc. - Let #AI deliver precise analysis with actionable insights. Accurate medical imaging analysis is key to longevity — and we’re leading the charge. Data will be sold to longevity initiatives and research institutions with $DESCI token lying at the center of it all.

🩺🚀 SUI DeSci Agents is excited to introduce the #AI Medical Image Diagnosis Agent, an integral part of our #AI Longevity Assistant! This cutting-edge tool, within our wide product suite, is designed to onboard millions of longevity enthusiasts into the SUI $DeSci ecosystem while driving organic growth for the AI agents launched on our platform. 📊 How it works: - Upload X-rays, CT scans, MRIs, ultrasounds, etc. - Let #AI deliver precise analysis with actionable insights. Accurate medical imaging analysis is key to longevity — and we’re leading the charge. Data will be sold to longevity initiatives and research institutions with $DESCI token lying at the center of it all.

SUI Desci Agents

160,614 views • 1 year ago

Chonkie (Chonkie) is building the open source library for connecting your data to AI. Split unstructured data into optimized AI-ingestible chunks that boost your AI accuracy, improve app performance, and reduce token costs. Congrats on the launch, Shreyash Nigam and !

Chonkie (Chonkie) is building the open source library for connecting your data to AI. Split unstructured data into optimized AI-ingestible chunks that boost your AI accuracy, improve app performance, and reduce token costs. Congrats on the launch, Shreyash Nigam and !

Y Combinator

38,387 views • 1 year ago

AI completely changes the way we can talk to data. Hex is leading the way by building collaborative, shareable analytics workspaces. I sat down with CEO Barry McCardel to discuss how agent workflows, conversational interfaces, and context-aware models are reshaping analysis. We cover how Hex aims to make everyone a data person by unifying analysis and AI in one workflow, how Hex is replacing outdated fragmented workflows, and the importance of trust and accuracy in AI systems. We also go over Hex’s awesome product launch videos, Barry’s emphasis on being fun and weird, and lessons he learned from Palantir. Enjoy! 0:00 The challenge of trustworthy data 1:19 Context management, observability, and governance 9:24 The promise and reality of data democratization 15:51 The impact of AI on data workflows 31:39 Breadth, depth, and speed: the three dimensions of AI in data 48:04 The rise of ambient analytics 55:56 The modern data stack and industry consolidation 1:03:40 Acquisitions and owning the data insight layer 1:06:06 Lessons from Palantir: forward-deployed engineering 1:13:13 Commitment engineering and customer collaboration 1:17:11 Brand, launch videos, and having fun in SaaS Barry McCardel Hex

Sarah Wang

41,746 views • 6 months ago

the trading terminal is almost ready and will go live next week. superior data, lower fees, AI-powered edge, token dashboards, live technical analysis, and much more. we have integrated our swarm of 7 domain-specific AI agents directly into the trading terminal to make streamlined analysis and ensure every single trencher has manual execution but can conduct any further analysis with our AI Agents. this changes the paradigm entirely; our trading terminal is built for everyone, however we're putting special emphasis on the newbies and less experienced traders, so they can be assisted by our agents and different capabilities integrated. e.g. you can conduct technical analysis on any token in seconds, on the time frame you have selected on the chart, to find signals, potential entries and recommendations on what to look for for confirmation. all tokens have agents assisting the trader, as well as informational dashboards comprising of social media & KOL analysis, trading metrics, macro news, general solana ecosystem knowledge, and security analysis. our fees are further reduced by holding our token: - base Fee: 0.8% - bronze (0.3% to 0.49% of $FRACTAL supply): 0.5% - silver (0.5% to 0.99% of $FRACTAL supply): 0.3% - gold (>1% of $FRACTAL supply): 0.1% btw, profitability has been achieved internally. ~ xFractal

the trading terminal is almost ready and will go live next week. superior data, lower fees, AI-powered edge, token dashboards, live technical analysis, and much more. we have integrated our swarm of 7 domain-specific AI agents directly into the trading terminal to make streamlined analysis and ensure every single trencher has manual execution but can conduct any further analysis with our AI Agents. this changes the paradigm entirely; our trading terminal is built for everyone, however we're putting special emphasis on the newbies and less experienced traders, so they can be assisted by our agents and different capabilities integrated. e.g. you can conduct technical analysis on any token in seconds, on the time frame you have selected on the chart, to find signals, potential entries and recommendations on what to look for for confirmation. all tokens have agents assisting the trader, as well as informational dashboards comprising of social media & KOL analysis, trading metrics, macro news, general solana ecosystem knowledge, and security analysis. our fees are further reduced by holding our token: - base Fee: 0.8% - bronze (0.3% to 0.49% of $FRACTAL supply): 0.5% - silver (0.5% to 0.99% of $FRACTAL supply): 0.3% - gold (>1% of $FRACTAL supply): 0.1% btw, profitability has been achieved internally. ~ xFractal

xFractal

33,014 views • 7 months ago

Luffy Token is taking over another social platform! Look no further than Luffy Token on Instagram! FOLLOW US: With over 1 billion monthly active users, Instagram is the perfect platform for us to connect with each other, learn about the crypto market, and grow our knowledge together. Join our community now and become a part of the exciting world of Luffy Token! #LuffyToken #InstagramCommunity #JoinUsNow #CryptoKnowledge

Luffy Token is taking over another social platform! Look no further than Luffy Token on Instagram! FOLLOW US: With over 1 billion monthly active users, Instagram is the perfect platform for us to connect with each other, learn about the crypto market, and grow our knowledge together. Join our community now and become a part of the exciting world of Luffy Token! #LuffyToken #InstagramCommunity #JoinUsNow #CryptoKnowledge

Luffy Token Official

10,815 views • 3 years ago