Anuar
@_startuphacker
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CTO @ https://t.co/73ZP71gNDB - AI agent for documents | my journey from Kazakhstan's steppes to building AI B2B SaaS
Toronto, Ontario
Joined July 2017
We just launched! And we are #1 on ProductHunt! 🚀 Tyce is an AI Agent that crafts the smartest documents. With Tyce you can write in the flow, Cursor-like vibes but for knowledge workers. Tyce is deeply integrated with our Word Processor, it can find relevant information in
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If you are > $1 mln net worth or > $200k in net income you should be investing in your friends AI startups
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Arguably the 2nd most prolific and profitable AI startup studio as a lab after Geoffrey Hinton’s lab. The best intersection of software, infra + AI
UC Berkeley's Sky Lab x Dr Ian Stoica research group is an applied AI infra hit factory. They are behind > vLLM > SGLang > Ray/Anyscale > SkyRL > SkyPilot > GEPA/DsPy > LMArena Not to mention he is also the co-founder of Databricks and Conviva 🤯
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🚨 VICE Magazine Is Back! 2025 marks the glorious return of VICE magazine to print, marking a new golden era of weird and wonderful reportage in a totally messed-up world. Subscribe today from $2/mo.
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My friend spends $500 a month on his Cursor bill out of pocket, how big is your bill?
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Ilya Sutskever is a Carl Sagan of AI
The @ilyasut episode 0:00:00 – Explaining model jaggedness 0:09:39 - Emotions and value functions 0:18:49 – What are we scaling? 0:25:13 – Why humans generalize better than models 0:35:45 – Straight-shotting superintelligence 0:46:47 – SSI’s model will learn from deployment
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Hack: if the LLM is not following your system prompt instruction, just append that instruction to the latest user message and it would work! LLM didn't follow your system instruction because there was some contradictory information in your message history. Appending to the
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Apply once. Work on the most important AI projects. We connect experts across software, data, healthcare, finance, and more with leading AI labs. Upload your resume, complete a short AI interview, and get instantly matched to flexible, remote projects paying up to $500/hour.
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Considering to live in our customer’s office, they have a nice view
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You can sustain infinite amount of pain if you convince yourself that future is bright
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We are already beyond fine tuning models, we are at the point of fine tuning Agents. Most interestingly, Agents are generating data to fine tune better Agents. See Kimi K2 blog
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In final form our idea is so scary to our users that they will oppose the buying process of our product 🤡
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We landed a customer who built this building 👇 Feels good working with a customer who appreciates beauty
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Prediction: Next year Apple will release human-verification features whenever you use iPhone / Macbook to disambiguate if it's you vs AI using your devices. This will be used in social apps like Instagram to show human authentic content.
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Best Models from API perspective: Reasoning: GPT-5 reasoning high Long context: GPT-4.1, Gemini Tool Calling: Claude Sonnet 4.5 Instruction following: Claude Sonnet 4.5 Image input: Gemini 2.5 Pro PDF: Gemini 2.5 Pro In-built tools (Web Search, File Search, Computer Use): OpenAI
Updated my AI model capabilities table. Here's my favorite model for each task: 1. Everyday answers: I use ChatGPT because GPT-5 is fast, concise, and almost never hits rate limits. 2. Writing: Claude is my main editor. I give it examples of my best writing and it just gets my
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I like @TraycerAI idea of converting a github issue to an implemented feature or bug with AI. The problem is that there is not enough information in the issue description to fully give context to the LLM. For QA bugs, if it was possible to fully reproduce the user flow - take
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