Who actually launched on Product Hunt in 2026

In the first half of 2026, 3,869 products shipped on Product Hunt. We ran the whole stream through LinkedIn and Crunchbase to see what people launch, who the founders are, where they came from — and what actually improves your odds.

Part 1. The landscape: the AI wave and the dilution of attention

Launches grew 434 (Jan) → 900 (Apr peak) → 521 (Jun), but average reception fell from 190 to 144 upvotes — attention spreads thin. 49% of launches are AI (61% in March), and AI products get +29% more upvotes. Busiest day Tuesday (875, weakest reception 142); quietest day Sunday (189) gets the best average — 250. And it's a micro-team business: 51% of companies ≤10 people, median 10.

Part 2. The founders: big names, pedigrees, and geography

1,602 founders profiled. Name-matching surfaced major-founder profiles adjacent to launches — Srinivas (Perplexity), Kothari (Notion), Perkins (Canva), Mensch (Mistral), Pei (Nothing) — flagged as likely match artifacts (could be namesakes) unless confirmed. 18.5% are ex-Big Tech, with 2.9× larger audiences. Top prior employers (descending): Google 62, Microsoft 47, Meta 41, Amazon 37, Apple 36. Geography: US 522, India 160 (India nearly matches US reception). Schools: UC, Stanford, Oxford, Cornell, Tel Aviv.

Part 3. What actually works at launch

Teams win: solo 123 → 2–3 = 188 → 4+ = 288; blended multi-maker avg ~227 vs 123 = +85%. Power-hunter (≥10 hunts): 235 vs 131 = +79%. Podium timing: Sunday top-3-of-day 39.7% vs Tuesday 8.6%; but "product of the week" is won on weekdays. Aim ~400–520 upvotes. Caveat: these are correlations, not levers — Sunday's rate partly reflects far fewer competing launches (189 vs 875), and team/hunter effects are confounded by selection.

Money (domain-verified): counting only domain-matched companies, 26 launches have raised ~$158M, led by Lore ($80M), Safebooks AI ($22M), CyVers ($8M). Y Combinator appears most on cap tables. Method note: name matching can attach an old same-named company's funding to a new launch — we caught one such artifact (a 2007 travel firm, $730M) and excluded name-collision matches. $158M is a conservative lower bound.

How we built this dataset with the Anysite CLI

Five layers via anysite api: (1) monthly producthunt/leaderboards → 3,869 launches; (2) producthunt/launches → website + makers; (3) linkedin/search/sql/companies matched by domain → team/geo/Crunchbase link; (4) crunchbase/db/search → funding (domain-verified only); (5) linkedin/search/users by name + product keyword → linkedin/user (experience + education). Result: 3,869 launches → 1,252 companies → 1,602 founders → rounds & investors in hours.

Data collected via Anysite CLI · Product Hunt · LinkedIn · Crunchbase · H1 2026 · anysite.io