... data before our own launch, since this took a while to pull together and might save someone else a bad launch day pick. We pulled every featured product across all 7 days of the week and looked at the median points needed to break the top 5 and top 10 on each day. Check the full report here: https://app.databox.com/shared/a... The short version: Saturday is the easiest day. Only 266 median

... funded 6,000+ companies. Only ~4% have gone public. I built a filter for it inside ExploreYC. The list is shorter than you think. Some patterns I noticed: - Most IPOs came from B2B SaaS, fintech, and biotech - The median time from YC batch to IPO: 7 years - 3 batches produced 80% of all public exits go explore the outliers: https://www.exploreyc.com/analytics what batch do you think punched the hardest? Comment from Prashant Patil(@prashant_patil14): Interesting insight ... ... year median

... Product Hunt I'm Aravindh, founder of DotSpark. The problem: the better AI got, the less my output sounded like me. Every answer came back polished but generic the median take anyone would get. My reasoning, my analogies, my angle, all sanded off. DotSpark fixes that. It maps how you think and feeds it into Claude, ChatGPT, Gemini, and Perplexity via an MCP server, so your AI reasons the way you do. Three pieces: ThinQer Index free, 60 seconds. Reads ... ... after here: Early users to run the Index and tell me where it's wrong Builders in MCP / AI personalization to compare notes Anyone working on cognitive tools or thinking frameworks Does "AI flattens you into the median

... their GTM motion, and how they approach AI. Many things have changed between 2025 and 2026. See full report here My key takeaways: 78% of founders are technical. @Claude Code became the most-named must-have dev tool (31%). @VS Code held flat (22%). @Cursor dropped to 15%. @v0 by Vercel , @bolt.new , and @Windsurf each lost 6-9%. @Claude by Anthropic models are the most used. AI-generated code is the median

... layer based on this thread's feedback. Here's a first pass every card maps to what you all requested: Launches by category Votes by category Comment-to-vote ratios Hunter activity Historical trends Plus auto-insights (movers vs previous period) and a watchlist with metric alerts. Still early data fills in daily. What would you add? Comment from M. M. Carvalho(@m_m_carvalho): @oshylabs  Both landed. On substance: it claims exactly that and nothing more a length ... ... toward this one you were right, so I built maker responsiveness first. For any launch, it pulls the comment threads and measures three things, all from the maker/hunter's own replies : Reply rate % of commenters the maker actually answered Median

... According to @RevenueCat 's State of Subscription Apps 2026 report, " hard paywalls convert 5x better than freemium, but with significantly wider variance." Day 35 download-to-paid, freemium vs. hard paywall Does access method impact download-to-paid conversion within 35 days? Quoting the report: Median