Barron

The harder you work, the luckier you get.

@nikks_techie @QAwithIto will handle qa :)

🚀 Future-Proof Your Tech Career: Dev: Agentic AI, LLM APIs QA: Playwright, AI test automation DevOps: Terraform, Kubernetes, CI/CD AI BA: PowerBI/Tableau + AI insights HR: AI recruitment & sentiment tools DBA: AI query tuning & monitoring 💡 AI is your co-pilot—start learning today!

@QAwithIto is in good company on @OpenRouter 's Leaderboard the first day we started tracking. Everyone coding 10x wants to verify they're building the right thing. We validate the behavior of your code. That simple.

@blakeandersonw @jayssj1 @benwxng @QAwithIto would love to support for continuous free behavioral testing on every PR

We are a TINY team of - 1 backend engineer @jayssj1 - 1 design engineer @benwxng - and me Please consider contributing and giving product feedback on the comments. We built this in 2 months so there is certainly a lot to be improved. github.com/10xapp/core-oss

Introducing core.so (oss apache 2.0) We’re building the future of an AI-native workspace. We rebuilt functionality from Slack, Linear, and Notion. Our vision is simple: centralize context so small teams can work more efficiently with agents.

@hthieblot validate ai software ito.ai

pitch me your company in 3 word.

@anvisha @QAwithIto Verification Layer for AI-speed development. Behavioral reviews for every PR by running/testing code, post video/screenshots and logs/impact for issues detected. The only one that actually runs your code. ito.ai brands: @linear @stripe @claudeai

@BarronCaster Awesome - tell me about your business idea! Also feel free to share brands or aesthetics you like.

We raised $7.5M to kill AI slop. Introducing Moda: the world's first design agent with taste. RT+ comment “Moda” and we’ll design your brand for FREE.

@anvisha Moda

7. Giveaway. To celebrate the launch, we’re designing the next 1000 brands for free. RT + comment 'Moda' and we'll send it to you.

@builderix ito.ai @QAwithIto

Drop you Product link 👇🏻

We just built our first nuclear reactor, at an impossible speed - 14 days: completed PDSA - 36 days: finished construction - 28 days: built the reactor - 10 days: assembled on site Core goes in after final DOE approval. Speed without sacrificing safety.

@MitcheIl Launch

@JonathanFors @AdamKPx 💯 @QAwithIto will randomly click for you :) does everything from rapid burst clicking to adversarial http requests w/ video proof

@AdamKPx Except if you run the same identical test every time you'll likely miss how real users would actually interact with the software. I say random clicking is still the best type of testing lol

If you’re not automating your tests yet… you’re behind 👀

@OfficialLoganK Yes. We’re fixing this @QAwithIto Actual QA that scales with your org and workflows. Not just static reviews. Every PR gets automatically tested and results post directly with video/screenshots/logs. Zero test writing, zero config.

The bottleneck has so quickly moved from code generation to code review that it is actually a bit jarring. None of the current systems / norms are setup for this world yet.

@turbahn @dynamic_xyz Agreed, QA should be on autopilot anyways

The best way to stress-test your own product isn't a QA sprint. It's handing it to your team and saying "build whatever you want in a day." We did that at @dynamic_xyz this week. The team picked wildly different stacks and built working apps across prediction markets, neobanking, AI agent payments, onchain social, and DeFi yield. It's incredible what you can build with AI and the Dynamic SDK. One engineer in Sydney created a prediction market chat bot. A product manager built a full native iOS app with @Polymarket integration and @Aave deposits. Our DevRel connected AI agents to make real USDC payments through x402 on Dynamic and @FireblocksHQ. We surfaced friction we wouldn't have found otherwise, but also a lot of things just worked. A flexible SDK where people can build any type of money app is what we're continuously building for.

@itsalexvacca Skills

We built 12 Claude Skill files that run our entire GTM operation inside Clay (and I'm giving it all away) Prompts give you generic output. These skill files on the other hand are built from hundreds of Clay tables across 80+ B2B clients at $7M ARR. Each one does a specific job: → Company Research Agent → Personalization Writer → ICP Scorer → LinkedIn Profile Analyzer → Data Cleaner & Normalizer → Objection Handler → Email Sequence Writer → Competitor Analyzer → Job Posting Analyzer → Technographic Qualifier → News & Signal Synthesizer → Account Brief Generator How it works: drop it into Clay → map your columns → run. No prompt engineering. No switching tools. Just output. Giving the full pack away free. Reply "SKILLS" and I'll send it.

@openblocklabs congrats on the launch!

@fin465 Outbound 🔥

I got tired of showing 100+ YC founders the outbound guide that i've watched take many from $0 -> $100k, $500k, even $1m ARR during the 3-month YC batch, so i'm providing it here for free: every YC batch, I talk to new founders about the best strategy to go from pre-product to top revenue of the batch in that 12-week period. Here's what I've seen work: 1. Don't bother with cold email. Cold email infra will take weeks to setup. If you're not an expert, it's not worth it. even if done properly, it's gotten impossible to compete with AI spam taking over inboxes. 2. Linkedin is a goldmine for outbound in 2026. There's no reason you shouldn't be sending 200 new linkedin connections every week to great fit prospects. If 50% accept your connection, you have 100 new potential customers to reach out to every week. You can easily setup an automated Linkedin Connector safely. Just upload your lead list and it will auto-connect. 3. Don't automate your message sending (wait, what?) if you build your lead list effectively, you will have a list of the few hundred HIGHEST value prospects to target (your top .1% buyers). These people are really important to you, and limited. Treat them well. Try to use linkedin 'casually' to start conversations with them in a more genuine way (more on this in the full guide). 4. Build that 'top .1% list' write out your exact dream customer profile, first at the company level. Then, person level. The more specific you can be about your dream customer, the better. The goal here is to create such a perfect customer, that if they heard about your solution they would have no choice but to say "tell me more". A few more miscellaneous tips: • do max volume connecting on all of your team-members accounts • an empty note for connection requests has the highest accept rates • don't use inMail. Connect first, then message • as you connect with more customers in your niche, you will gain more mutuals and your connect rate will increase over time This is just the beginning though if you actually want to execute this well. I wrote up a highly detailed guide going over each of these sections in more depth. completely step by step. Want the guide? Comment "outbound" and I'll dm you the entire guide that shows the exact process used by dozens of founders to scale from $0 -> $100k+ ARR in their first few months, that still works in 2026.

@mikeysee @chevyphillip @convex @github @Qodo @Coderabbitaija @greptile @Macroscope @cubic_dev_ @SorceryAI @CodeAntAI @graphite @augmentcode @QAwithIto for round 2! Only one that actually runs your code

@chevyphillip @convex @github @Qodo @Coderabbitaija @greptile @Macroscope @cubic_dev_ @SorceryAI @CodeAntAI @graphite @augmentcode good point, added for the v2

I tested 9 code review bots on @convex code to see which would be best, the results were actually quite surprising!

@gokulr Totally agree. And tools like @QAwithIto make sure everything works as expected when everyone is pushing code.

Speaking with Head of Product at a large company (30+ PMs). They actively ship code and their expectation is that all PMs on their team do this. Their recommendation for the first 3 things that PMs and designers (and marketing!) should own end to end: 1. Public-facing website 2. Support experience 3. Onboarding / growth flows

Claude is now spending $15-25 / PR to look at the code it generated for you really really hard. @QAwithIto is the only code review tool that actually runs your code. We catch things you never will get by just looking at it.

@rrhoover Excited to try it out

Just preordered a Fort

@dbabbs @tryprofound @lightspeedvp @sequoia @kleinerperkins @MattEvantic @Saga_Ventures @southpkcommons Agent

Today, @tryprofound is excited to announce our $96M Series C at a $1B valuation, led by @lightspeedvp with participation from @sequoia, @kleinerperkins, @mattevantic, @saga_ventures and @southpkcommons. When we started Profound 18 months ago, we had two fundamental beliefs about where marketing is heading: 1. Every company will care deeply about how AI talks about their brand. 2. Every marketer will use AI Agents to do their best work, faster. Those beliefs are becoming reality faster than we imagined. Now, we serve more than 10% of the Fortune 500 and are the number 1 leader on the G2 grid for AEO. To double down on that momentum, we’re taking two big swings: 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗔𝗴𝗲𝗻𝘁𝘀: AI workers that take marketing teams from concept to execution. 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: certifications and cohort-based learning for marketers who want stay at the forefront of AI marketing. Reply with 𝗔𝗚𝗘𝗡𝗧 for free access to one of our most popular agents. No account required and no strings attached.