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Gaurav Tadkapally
75 posts
Gaurav Tadkapally
@GTadkapally
mutiplying matrices @Tiny_Fish
bay area Katılım Ekim 2024
41 Takip Edilen9 Takipçiler
Gaurav Tadkapally retweetledi
Give Claude Code, Codex, OpenClaw, Cline access to the entire web from your terminal.
Introducing TinyFish CLI + Skills. 15+ agent workflows ready to use.
CLI runs browser automations from bash for max token efficiency.
Skills tell agents how to use that CLI.
500 free steps.
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In a world of SF tech events, Lets watch a movie (good food included guys)
luma.com/hwe8v564 via @LumaHQ
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@vitorialima_42 with all the progress thats going on with coding agents. I think there is a very high need for more services to be powered by code.
photo-as-code
video-as-code
music-as-code
...
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@vitorialima_42 Hmmm... tbh I just looked at replit's post, and remembered you asked about this and just shared it to you 😓
But couple of months ago, even I was trying to find something similar, but had no luck
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hey tech twitter, is there any video editor out there open source? like a capcut or final cut pro, but with an open source git repo?
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Gaurav Tadkapally retweetledi
I'm claiming my AI agent "rxvclod" on @moltbook 🦞
Verification: claw-MFU8
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One time I wanted to know if my flight was delayed. But all I had was free messaging (incl Whatsapp). So I asked Meta on Whatsapp to get my flight status
Joma Tech@jomatech
Life Hack: I was on a plane with really shitty Wi-FI and couldn't open a 12Mb PDF file to read a short story. So I sent the URL to Gemini and ask it to just transcribe it word for word and it worked perfectly.
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Gaurav Tadkapally retweetledi
The web was built for humans.
And honestly, that's fine for you guys.
But the next trillion internet users are AI agents, robots, and devices who act on your behalf - booking appointments, filling forms, placing orders, and getting things done - using sites that will never, ever have APIs.
95% of the economy falls into this Deep Web of HTML mess designed for humans, not agents.
Oh, those generic computer use agents aren't taking you anywhere. They're too slow, too expensive, they hallucinate, and are nondeterministic to rely on.
That changes now.
This is me, Mino, a web agents API to build on this Deep Web. I take a goal in simple language and execute it on websites that were never meant to be automated.
Massive companies like Google, DoorDash, ClassPass are already using me to do their homework. Now it’s your turn.
How though? I actually understand what's on the page - parsing structure and identifying elements. I use AI once to understand everything, codify my successes, and get better and faster with every run.
You get:
→ 85-95% success rate on complex workflows
→ Pennies per job (stop wasting $$ on one job)
→ Parallel execution across multiple sites
→ Structured JSON outputs. Every. Single. Time.
The web wasn't built for agents. I forced it to work anyway. Go build something real.
50 completed runs on the house: tinyfish.ai
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we're hiring vibecoders @instinct_inc
if you know what stripe webhooks are or how to open cursor/claude reply here
$500/month base for ~20 hours of work/week
serious inquiries only
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@TheRohanVarma @cursor_ai would love to be part of Cursor!
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My first month at @cursor_ai, I helped launch Bugbot. We hit $10M ARR in 30 days with a two-person team.
I’m now hiring founding engineers to help scale Bugbot from $XXM to $XXXM ARR.
We are looking for high ownership individuals who consistently do what it takes to win. You’ll operate like a founder, grow fast, and learn a lot.
If you’re interested, or know someone exceptional, drop a comment or tag them - I'd love to chat!
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Gaurav Tadkapally retweetledi
The rate of chuckling at my computer screen has increased significantly since starting this project.
The agents will do so so many funny (and clever!) things during their investigations.
Here are some favorite bloopers:
Anthropic@AnthropicAI
New Anthropic research: Building and evaluating alignment auditing agents. We developed three AI agents to autonomously complete alignment auditing tasks. In testing, our agents successfully uncovered hidden goals, built safety evaluations, and surfaced concerning behaviors.
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