Renat Gabitov

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Renat Gabitov

Renat Gabitov

@imrenat

I scale tech companies with video | 🦄 Builder 🎥 Creator 🧞‍♂️ Marketer Took Bardeen AI from 0 to 200k users.

What we do 👉 เข้าร่วม Kasım 2012
557 กำลังติดตาม3.1K ผู้ติดตาม
Renat Gabitov รีทวีตแล้ว
George Hartley ☄️
George Hartley ☄️@gthartley·
Email dashboards had a good run. Two decades. Billions of emails. I built two companies on them. But the dashboard was never the product, it was the bottleneck. We removed it. This is Nitrosend. → nitrosend.com
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Renat Gabitov
Renat Gabitov@imrenat·
@Ent_Security Folks don't think about security until it's too late. Excited to try this out for our org.
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Xavier Pladevall
Xavier Pladevall@pladevall·
After chat and code, analytics is the biggest opportunity in AI and it's still completely untapped with our current tools. As founders, data scientists and operators we deserve something better. That's why today we're launching @morahq 👇🧵
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Renat Gabitov รีทวีตแล้ว
Aoden Teo
Aoden Teo@AodenTeoMT·
Today, we’re excited to introduce Miso One, the most emotive voice model in the world. Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency. We’ve open-sourced the model weights, with API access coming soon. Hear how Miso One sounds in the thread below.
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George Hartley ☄️
George Hartley ☄️@gthartley·
I just sent our launch announcement to 10,000 people. It took one prompt in Claude. Today we're launching @nitrosendx - the first email platform with no dashboard. → nitrosend.com
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bidhan
bidhan@bidhan·
We're releasing Paris 2.0, which, to our knowledge, is the world's first decentralized trained video generation model. We benchmarked it against a monolithic model trained on the same data and compute budget, and Paris 2.0 outperformed the monolithic by ~2x on FVD benchmark.
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Y Combinator
Y Combinator@ycombinator·
TesterArmy is the simplest way to QA your website or mobile app. It runs real tests across browsers and devices, catches regressions on every PR, generates tests from natural language, and much more. Try now and start testing in minutes: @TesterArmy
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Michael Zhou
Michael Zhou@michaelzixizhou·
I got into @ycombinator S26! The past 6 months have felt like 2 years: - Turned down 7-figure new grad offers at top companies - Bootstrapped until my bank account hit zero - Pivoted 5 times, and did door-to-door sales for a couple of months - Joined @zfellows and flew out to SF last month - Cancelled my return flight to Toronto - Had wonderful neighbours I'd just met crowd-fund my apartment deposit - Got the call from @aroraharshita33 6 hours after my YC interview ...all without telling my mom. Codag is the crystallization of everything I picked up across infrastructure, systems, and platform engineering. Our thesis is that within two years, agents will be the primary consumer of logs, and soon the primary producer of them. Today's observability stack and dashboards were built for humans to look at. Agents are a different reader entirely, and the infrastructure for understanding systems at scale has to be rebuilt for them. That is what we're building. We start with log compression: turning millions of lines into a compact, cited capsule an agent can actually read, so it stops drowning and starts debugging. I cannot believe I get to work on this full time - I wake up every day looking forward to building more. To everyone who made it real: @carterkev, @cory, @aroraharshita33, @amiklas, @nemild for taking the bet, the neighbours who backed a stranger with a laptop, and the countless friends that support me. Thank you. We just published an open source CLI and algorithm for log compression, fully free at codag.ai. If your agent debugs production, I'd love for you to try it, or just to talk. Got a lot more coming soon, and most of it will be open source. Now I should probably call my mom 😰
Michael Zhou tweet media
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Renat Gabitov
Renat Gabitov@imrenat·
@AllenWangzian @ycombinator You should do RLHF to fine tune your model. A 9 or a 10 has a much much lower body count than a 6 on average. I'll bet money on this.
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Allen Wang
Allen Wang@AllenWangzian·
Just got into @ycombinator s26 with an agentic ai body count detector Lfg! Who wants to join our seed round? Try now link in comment
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Ben Cera
Ben Cera@Bencera·
Polsia just raised $30M at a $250M valuation. Approaching $10M annual run rate. One Founder + AI. Zero employees. Polsia runs companies autonomously. It also ran its own fundraising. I just showed up for signatures.
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Renat Gabitov รีทวีตแล้ว
Cognition
Cognition@cognition·
Devin is getting a Windows PC. Devin can now natively run in a Windows VM, so it can build, run, and test native Windows applications.
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Fryd Wiatrowski
Fryd Wiatrowski@frydwia·
$15M annualized run rate. Fully self-serve. 90% of the revenue is in the US. Last month Filip, our first sales hire, started converting that self-serve base into enterprise contracts. $1M ARR. Annual commits. In 27 days. Solo. From Warsaw. You don't need to be in the US anymore. Meet @fjsobiecki.
Fryd Wiatrowski tweet media
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Forbes
Forbes@Forbes·
Ex-Google engineer Cecilia Shen cofounded Utopai to crack the code on long-form AI-generated content. And thanks to an investment from NBA legend Carmelo Anthony, the Under 30 alum is now running a billion-dollar studio. Read more: forbes.com/sites/mattcrai… Photo: Cody Pickens for Forbes
Forbes tweet media
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Binh Pham
Binh Pham@pham_blnh·
whoever made the robot catch the mouse cursor on @rerundotio cooked
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Renat Gabitov รีทวีตแล้ว
Fryd Wiatrowski
Fryd Wiatrowski@frydwia·
Today, we’re announcing Viktor’s $75M Series A, led by @Accel . @viktor__com was supposed to be a small experiment. It became the AI coworker 10x'ing real businesses. $15M in annualized revenue run rate. In 10 weeks. – Small companies saving millions of dollars – Sourcing hundreds of thousands in new revenue in their first 30 days – Whole teams getting half their week back – Companies running 40% leaner without cutting output Viktor is not another AI tool. It’s the first true AI employee. The vision that has been with us since 2023 when we started the company has finally been shipped. Back then, it was just the two of us, with a very small but dedicated team, iterating for years. Failing multiple times. Showing products that users didn't even want to test! But we never gave up. Our decisions were often wrong. Certainly more often than not! We kept trying. Now we’ve shipped something people love. Worth every sleepless night. Every sacrifice. The best employees don’t need to be told what to do. Neither does Viktor. Grateful to @Accel, our team, our earliest users, and everyone who believed this category could be bigger than chat.
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Renat Gabitov
Renat Gabitov@imrenat·
@BeeReach_io whether you have something newsworthy and well-differentiated to launch in the first place, because without an interesting story your reach stops at the edge of your own network.
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BeeReach
BeeReach@BeeReach_io·
@imrenat 100 startups, impressive. what single move actually makes a launch viral?
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Renat Gabitov
Renat Gabitov@imrenat·
how to pull off a viral saas launch (from someone who's launched 100+ startups):
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