Daniel Kondo (@dan_tehrani) header
Daniel Kondo (@dan_tehrani) profile picture

次世代の新卒就活サービス開発中 @koko_jobs 元共同創業者 @personae_labs, @Mikawaya9

SF/Tokyo
Joined March 2020
I'll be in SF from Aug 21st for about a month Let's grab coffee if you're there!
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Koko就活、学生側はPMFしている。パワーユーザーもいて嬉しい。 企業側も面談につながるケースが出はじめている。ここの解像度が上がったら一気に伸ばせそう
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「スケールしないことをやれ」 本当にこれに限る フルバージョンに日本語字幕つけたものです YCのコンテンツが日本でもっと普及したら嬉しいですね
Y Combinatorが解説する「最初の10人の顧客を獲得する方法」 日本人向けに要約↓
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Daniel Kondo retweeted
1/ The Ethereum protocol prices congestion correctly. Wallets don’t. • 25 days of data. • ~185k observations. • 3 wallets. One clear mismatch ↓
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Daniel Kondo retweeted
1/ “Who is the top JIT liquidity searcher in Ethereum?” → a question answer by our paper w/ @0xAlphaist (accepted to a FC workshop: fc26.ifca.ai/defi/) We mapped JIT activity in Uniswap v3 and linked searchers <-> builders from Jan 2024 to Sept 2025. One name dominates: jared accounts for >50% of all observed public JIT execution.
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Our AI auditing system has found a confirmed Medium severity bug on a bug bounty! AI auditors will just keep getting better from here
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Our LLM auditor has identified a Medium severity vulnerability in a bug bounty as well!! More updates soon teapawt.org/dan_tehrani/status/200…
I’ve been building an AI agent for finding vulnerabilities in smart contracts. It has found several confirmed bugs in audit contests, including code4rena contests which codebases are pre-scanned with @zellic_io's v12 LLM auditor. Tuning the prompts of an AI agent to find vulnerabilities requires thousands of dollars in inference cost for the best reasoning models, and careful try-and-error prompt tuning across many real-world vulnerabilities. It still falls short compared to the best human auditors, but with the prompts and the base models improving, the gap will only get smaller.
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We're offering *free* audits with our LLM auditor. Please DM if you want to get an audit report now. Our system usually costs hundreds of dollars per audit for LLM inference. It has been competing in audit contests and has identified variaous high/medium severity vulnerabilities. We currently provide *free* audits for projects in exchange for permission to write a case study of auditing your project. Please DM if you are interested:) teapawt.org/dan_tehrani/status/200…
I’ve been building an AI agent for finding vulnerabilities in smart contracts. It has found several confirmed bugs in audit contests, including code4rena contests which codebases are pre-scanned with @zellic_io's v12 LLM auditor. Tuning the prompts of an AI agent to find vulnerabilities requires thousands of dollars in inference cost for the best reasoning models, and careful try-and-error prompt tuning across many real-world vulnerabilities. It still falls short compared to the best human auditors, but with the prompts and the base models improving, the gap will only get smaller.
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I’ve been building an AI agent for finding vulnerabilities in smart contracts. It has found several confirmed bugs in audit contests, including code4rena contests which codebases are pre-scanned with @zellic_io's v12 LLM auditor. Tuning the prompts of an AI agent to find vulnerabilities requires thousands of dollars in inference cost for the best reasoning models, and careful try-and-error prompt tuning across many real-world vulnerabilities. It still falls short compared to the best human auditors, but with the prompts and the base models improving, the gap will only get smaller.
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In the last few months, I’ve been focusing on building an LLM-based smart contract auditing system with the question: Can an AI auditing system become more reliable than human auditors? I see a lot of sentiment that discards AI auditing. So I wanted to assess what AI actually can and cannot do in finding vulnerabilities. Here are all my learnings (post link in thread) With today’s models, LLMs aren’t capable of finding all vulnerabilities expert humans can find with just a few prompts. But with the base model improving and further research in promoting, it’s plausible that LLMs will become more reliable than humans. Further research is required, but as millions of dollars are at stake, we need to keep pushing the frontier of LLM auditing faster than the blackhats do.
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I need the new AirPods for the better noise cancellation
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Sent 30+ DMs to users who haven't come back to my product after the first use. Really want to understand how to make one want to come back and use it again.
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enjoying the @t3dotchat experience wen desktop app?
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Added an FAQ since I actually get the same set of questions frequently
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Daniel Kondo retweeted
Hey @nikitabier when will you stop gatekeeping the X API? $200->$5,000/month is absurd. We're not just losing the API. We're losing the next X add-on, the next analytics tool, the next thing that makes X better. That's the real cost of gatekeeping your API. Is it worth it?
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I attest to this. My product pays $200/month for the API but still many things doesn't work out of the box. The X experience could be so much better if it was more open to developers.
Hey @nikitabier when will you stop gatekeeping the X API? $200->$5,000/month is absurd. We're not just losing the API. We're losing the next X add-on, the next analytics tool, the next thing that makes X better. That's the real cost of gatekeeping your API. Is it worth it?
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Stripe KYB is taking forever 😭
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Record a demo of your product with your face. People will trust you more with whatever you're selling.
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