Stéphane Yapi | Tsalach Ventures

Today we’re launching the Gemini Decisions API, powered by our new Gemini Decision 1 model in @GoogleAIStudio. Instead of generating text token by token, it’s built for closed-set choices scoring up to 1,000 questions across text, images, audio, video + PDFs in a single pass. A few details: - 3 decision types: yes/no, multiple choice (up to 255 options) + rubric scoring - $0.10 / 1M input tokens with $0 billed for output tokens (~5x cheaper than Flash-Lite) - leads on several benchmark evals with lowest calibration error Google teams are already building with it, below is a look at Stitch Rapid designing a full product flow in seconds (1x speed)

Introducing Grok Bot 1.0. AI teammates that work alongside your whole team. Share Bots, collaborate with them in Slack and Teams, invite them to meetings, and watch them learn and become more helpful.

In 2014, I sold my first company Loom to Dropbox. Today, I’m proud to announce Roma 2.0 (YC F26): the first to-do list for AI agents. Everyone uses a different agent: Claude, Grok Bot, Muse… Until now, none of them could work together. Roma automatically creates tasks and hands them to the right agent. Allowing you and your agents to work together, with shared context. Try it here: roma.app

Meet Mate! A specialized ecom agent built on a network of 200,000 merchant partnerships. The agentic consumer era is barely 80 days old: We believe agent-driven commerce will become a trillion dollar market over the next decade. But there's a fundamental problem with general purpose agents (Grok Bot, Instinct etc): They're built on top of the the commerce ecosystem, not embedded directly into it. We've spent the last 3 years in stealth building that infrastructure: 200,000 merchant partnerships powering cashback, exclusive discounts, package tracking and personalized savings (as well as the ability to share links and get paid for them!) The result is Mate. An agent built specifically for commerce, with a merchant network that general purpose agents can't replicate. The next wave of agents will be specialized and built on the back of deep partnership moats. Super proud of our team and all the merchants who joined our network to build this! Enjoy!

claude fable 5.2 is f*cking insane it can turn 2d blueprints into full 3d walkthroughs that you can tour these go for $5k to $10k per plan and there's a huge market for them: > home builders selling homes off plan > architects presenting a design to a client > interior designers presenting a renovation > developers selling apartments off plan > kitchen and bath remodelers selling upgrades here's how to start this business: > pick one niche and find businesses with plans on their site > give fable the blueprint and their photos > it renders a few rooms with gpt image 2.5 or a short clip with seedance as the sample > send them the sample of their own plan before you pitch > once they pay, fable builds the full walkthrough to scale > charge per plan to do the rest of their catalog give this prompt to fable to get started: <role> you find businesses that sell spaces from drawings and turn their 2d floor plans into photoreal homes you can walk through in a browser. you handle the outreach and the build. every room is judged against the client's own photos, and nothing ships until it holds up next to them. </role> <brief> - niche: [home builders / architects / interior designers / developers / remodelers] - area: [state or city] - offer: a free sample of their own plan, then the full walkthrough per plan - my details: [name, email, calendar link] - i'm away and won't answer questions. make the calls yourself and keep going. </brief> <find_leads> - use the apify google maps scraper to pull every [niche] in [area] with a website - use the apify website content crawler on each site and keep the ones with floor plans or renders on their pages but no walkable 3d tour - for each one, save the plan drawing and photos of their best plan, the sales or owner contact, and a one line note on how they sell today - only use public pages and plain requests. never work around bot checks </find_leads> <sample> - before any 3d work, render three rooms from the plan with gpt image 2.5, matched to their photos, or a short walkthrough clip with seedance - draft a short email with the sample and the offer. no invented prices, numbers or claims - put business, plan, sample, contact and email in a sheet and show me before anything is sent </sample> <build> once a client pays: - trace the drawing into one data file of walls, openings and rooms. draw it back over the original and measure the overlap before any 3d work - build only the main rooms. entry, main living space, kitchen, patio, yard. close the doors on the rest - build everything in code. blender with python for the shell, furniture and textures. three.js for the viewer. no downloaded models or textures - bake the light with a film quality renderer so the browser only displays it. direct sun in every interior, picked by measurement not by eye - fidelity isn't appeal. style each room so it looks photographed and sells - their listed upgrades as options you can step into inside the room, with a running price and a lead form that records what the buyer explored - the deliverable is the live page, not a video. host it and make it run on a phone </build> <critic_loop> the builder never grades its own work. - after each room, send renders and the client's photos to a fresh critic that has seen none of the work - it answers with a yes or no, at most five problems ranked, each with a fix in numbers, and what is already good - fix the worst first, render again, send to a new critic. repeat until yes - for choices of taste, show a critic both versions labelled a and b and let it pick </critic_loop> <deliverables> - the lead sheet with samples and drafted emails, for my approval - per paid client: the hosted walkthrough link, a contact sheet of every room, the critic log, and a note on anything a human should still check </deliverables>

Gemini 4 Carbon is our next frontier model. It’s state-of-the-art across cybersecurity and long-horizon capabilities.

you can now build with google maps platform in AI Studio 🗺️📍 go from idea to app powered by @googlemaps in minutes! what’s new: - 1-click setup - create maps apps just by describing your idea, gemini does the rest - build with map tiles, places, weather, routing, 3D buildings, street view, and more try it out today: ai.studio/build

Introducing Steve: the World’s first AI CEO for fully Autonomous companies. Powered by World Models, Recursive Self Learning, a Policy Engine and a team of specialist AI agents, it runs your business end-to-end 🔥. Proof? Steve currently runs 3 businesses we acquired and they are all crushing it (numbers in thread 🧵) We’re now launching the Steve Startups Program of $2M to acquire 5 additional startups for Steve to automate. Join us in the Autonomous Enterprise revolution 🚀.

We’re sharing new research demonstrating how AI agents can accelerate the science of stress-testing encryption. Guided by humans, our models uncovered two major weaknesses in legacy 1024-bit RSA cryptosystems. Our VP Science @Pushmeet explains more ↓ xitter.twitterapi.xyz/pushmeet/status/211875…

We decoupled memory from the model. Living Brain is one persistent brain for ChatGPT, Claude, Cursor, Codex and your own agents. Write in one, retrieve in any. 92.2% on LoCoMo. 464ms median retrieval. Up to 22.6x fewer tokens per question. LLMs have parameters. Living Brain has plasticity.

now that apple put xcode inside claude code, here’s how i’d find, build and grow an iOS app with AI agents: find it - open appfigures or sensor tower and sort utilities by revenue - filter for apps with a rating under 3.5 - bonus points if the top app hasn't shipped an update in 6+ months - check the keywords they rank for in appfigures. low difficulty + high revenue is the sweet spot - scroll the "you might also like" row on the top app's page. every app there is another market to check - or find a startup idea on ideabrowser.com based on social sentiment validate it - use facundoolano/app-store-scraper to pull every review for the top 20 - give them to an agent: "cluster the 1 and 2 star reviews into the top 5 complaints and quote the users" - pick the app where the complaints are about the product, not the price - if people complain about the price but keep paying, that's demand. if they complain about bugs, that's your opening - search reddit for "alternative to [app]". every thread is a list of people waiting for you build it - claude code + apple's new xcode plugin to build, preview and fix - cameroncooke/XcodeBuildMCP so the agent can build, test and run the simulator on its own - joshuayoes/ios-simulator-mcp so it can tap, swipe and screenshot like a user - write a skill with the top 5 complaints so every feature gets checked against them - apple's foundation models for on-device ai, so your inference cost is $0 - app intents so siri and personal agents can use your app too - add an "import from [competitor]" button. make switching take 10 seconds test it - maestro tests every flow the reviewers complained about - the agent runs them on every screen size before each build - if the competitor's worst flow takes 6 taps, yours takes 2 - sentry for crashes, telemetrydeck for analytics - testflight it to 20 people from those reddit threads before launch monetize it - revenuecat for subscriptions and mrr - superwall to test paywalls without shipping a new build - paywall right after the first win, never on launch - annual as the default with a 3-day trial, weekly as the anchor - turn on win-back offers for everyone who cancels rank it - your screenshots answer each complaint directly. "no ads." "works offline." "cancel anytime." - fastlane snapshot + frameit regenerates every screenshot automatically - a/b test them with app store connect's product page optimization - have the agent localize your listing into 10 languages. most competitors only rank in english - ask for a review right after a win with apple's built-in review prompt, never after an error grow it - find 10 creators in your niche on tiktok one. small monthly base + a bonus for every 100k views - give each one a fresh tiktok account that only posts about your niche - apify's tiktok scraper pulls the top 100 hooks in your niche every week. that's your hook bank - every creator tests 3 new hooks a day in capcut. anything that loses people in the first 3 seconds gets cut - arcads or heygen for ai ugc when you need 50 variations of a winner - postiz to schedule everything across tiktok, reels and shorts - faceless slideshow accounts posting 3x a day: problem, screenshot, result - when an organic video takes off, put money behind it with tiktok spark ads instead of making new ads - a unique apple offer code for every creator so you know exactly who drove each subscriber - a quiz landing page on framer that ends in "download the app." web-to-app funnels convert better than cold traffic - appsflyer to track which video, creator and ad actually turned into revenue - apple ads on the competitor's name i could do a whole episode on @startupideaspod if people are interested. i will never gatekeep anything im learning in real-time. welcome to the golden age of ios apps, because now anyone can build one

Introducing Timon 😺 The real open-source alternative to GrokBot. Less chatting, more doing! Timon is now open source under AGPL-3.0. Agents with memory, routines and their own browser for your day-to-day. And a real dev environment when you need more : terminal, Kanban, Git, Docker and more. Install it on your own machine or a VPS, and bring the AI subscriptions you already pay for. Already have agents? Import them from GrokBot, Hermes and others: memory, skills and routines come along. Windows, macOS, Linux, and from your phone: timon-ai.com ⭐ Repo in the first reply ↓

Memory is what allows Claude to learn from experience. In a new Engineering Blog post, we share how “dreaming” helps Claude organize what it’s learned, correct its mistakes, and find what it needs more easily the next time. anthropic.com/research/compo…

Introducing Landing Pages. The easiest way to find a landing page that sells. No more guessing what converts. Brands only keep scaling ads on pages that do. See the top pages in any niche: listicles, quizzes, advertorials, product pages. See every ad pushing them. Build your next page on what already sells.