... leaderboard that shifts in real-time and archives winners, people keep checking back to see who holds the top spot. 3. Vibe-coding handled the live stress test. Building the real-time state sync and checkout webhooks with Gemini + GoogleAntigravity felt risky initially, but the stack held up through every live transaction without desyncing. Huge thanks to the early founders who tested the board and trusted an indie experiment! For the builders here: what was the milestone that proved ...

... generation with Gemini was straightforward, but handling the live plumbing was the real challenge: - Coordinating live bidding state without race conditions - Listening to Dodo Payments checkout webhooks to update the board automatically - Managing daily reset triggers reliably Using GoogleAntigravity alongside Gemini made it possible to scaffold the backend routes, webhook verification, and state logic entirely through iterative prompting. For those building complex web apps purely through AI agents: how are you approaching backend state management and payment verification without ...

... identity photo and a pose reference, and it returns the same person (or the whole family) in that new pose and composition, with controls for camera, lighting, styling, fidelity and output format. Who it's for: Codex, GoogleAntigravity and ComfyUI users who are tired of rebuilding the same multi-image prompt in chat for every single photo, and want a repeatable visual workflow instead. Hardest part right now: Getting discovered with zero ad budget as a solo founder from ... ... technical execution (React Native, NestJS, and getting past

... Agents 2. notion - planner 3. Wispr-My best when prompting my AI 4. Awesome screenshot - walkthroughs and feedback 5. google workspace - meeting notes, emails, google

... According to the 2025 @Stack Overflow Developer Survey (49,000+ participants), @VS Code still is the most-used dev environment, maintaining the top spot thanks to its marketplace. @Kilo Code , @Github Copilot , @Ultracite ... What are the extensions that significantly improve your coding workflow? Comment from fmerian(@fmerian): @nathan044  any extensions in particular you'd recommend? Comment from fmerian(@fmerian): @jonabiola  what do you enjoy the most with @Github Copilot ? anything they could improve? Comment from fmerian(@fmerian): @viorelmocanu ... ... troubleshoot my server, inclusive security audits. For me, the use case is just endless. Comment from Alex(@nathan044): The comment is already solid, I ve just adjusted it and naturally included one of your anchor texts: Interesting results VS

... Vibe coding is about moving fast from idea to production without getting stuck on infrastructure. A simple stack that works well: Frontend and Backend: @GoogleAntigravity , @Cursor , @Claude Code Databases and RAG: @Pinecone Cloud and DevOps: Bult.ai LLMs: @OpenAI , @

... think about Context when vibe coding ? Please share your experience below! This is super helpful! Comment from LadyF AI(@ladyf_ai): I may have tried every single vibe coding tool that exists. But recently, I've been chilling with Antigravity cos of one feature. Anyway, when it comes to prompting, context matters more than anything. For the record, I do research and strategy first before I meet any vibe coding tool. I am a product designer, so usually before ... ... build with speed and create an aligned product. Comment from Ilai Szpiezak(@ilaiszp): @peterclaridge  Interesting! Thanks for sharing!!! Which LLMs do you use? Comment from Peter Claridge(@peterclaridge): I'm a daily user of chatgpt, claude and recently Google

... ChatGPT by OpenAI + @Replit . Others swear by @Cursor + @Claude by Anthropic . A few are mixing @Lovable , @v0 by Vercel , and @bolt.new . New and shipping way faster than expected. I ve been refining my own vibe stack lately. Building with @GoogleAntigravity at the core. It keeps the flow clean when things get messy. Share your current Vibe Stack: Your go-to tools How you connect them What you re shipping Let s crowd-source the best combos for 2026. Maybe ... ... power the Ai Judge we use to score the projects. Recently using @Figma Make for some more detailed designed specs and it runs on @Supabase Comment from Simona O'Neill(@simona_o_neill3): Currently , only ChatGPT & Codex in

... soon as it goes through approval for the ChatGPT App Store. Comment from Nika(@busmark_w_nika): @bekjon_ibragimov  Name of the app? And the page? Comment from Nico Lumma(@nico): I spent some time building stuff with @GoogleAntigravity and it is pretty cool how much I can get accomplished :) Comment from Nika(@busmark_w_nika): @kavyashree_s1  yep, and probably it can be cost-consuming. Such techniques require more pricy inputs/investments. Comment from Nika(@busmark ... ... davidos366): @busmark_w_nika   The link is here. https://gemini3.devpost.com /. David Labs is participating. We are just not sure what product we should submit. Comment from David Smith(@davidos366): I am going to plan ahead. There is a

... Complete Travel Toolkit   https://tripsy.app/ @TrustMRR  The database of verified startup revenues   https://trustmrr.com/ @Type.link  Create your site from amazing widgets   https://type.link/ @ViralSort  Discover Instagram content that worked for your competitors   https://www.viralsort.com/ There were even more tools I loved, but some domains expired, or the projects quietly disappeared in the meantime. Overall, the Entertainment/Fun category completely dominated my favourites this year. What about you? Which 2025 launches blew you away? Which ... ... been getting through my saved reading list for the first time in years tbh both are things i'd have paid for immediately if i'd seen them on PH launch day Comment from Nico Lumma(@nico): For me, @Google

... what you see as the minimum structure to keep things stable State model Flow Constraints All of it? Comment from Navam(@navam_io): Vibe coding is moving to spec driven approach if you follow recent launches from AWS Kiro, GoogleAntigravity. I personally prefer context driven development. Where context is spec/roadmap + existing state of code + any specialized knowledge not part of model's knowledge cutoff + custom tools required to augment a development task. So I end up spending good amount ...