The 14-day operating timeline behind 30+ Product Hunt #1 daily wins.
By Iris Wei (生姜) · ex-COO of AFFiNE (60K+ GitHub stars) · 30× Product Hunt #1
Only ~10% of Product Hunt submissions ever get featured. The teams that win rarely have the best product that day — they have the best timing, comment cadence, and pre-seeded audience. This is the exact 14-day operating timeline used to coach 30+ #1 daily launches across 150+ AI startups.
| Product Hunt #1 launches coached | 30+ |
| AFFiNE GitHub stars driven | 60,000+ |
| GitHub Trending appearances | 28× in 5 months |
| AI startups consulted on launch | 150+ |
| Typical launch-day upvote uplift | 3–5× vs. uncoordinated |
T-14 · Prep
Get the landing page, pricing and FAQ live, gather ≥100 early users + an email list, pick ONE hunter, and prepare 3 gallery images (1270×760) plus a 30-second demo video.
T-7 to T-2 · Warm-up
Post a "we're launching, AMA" in the PH discussion board. Tease on X / LinkedIn / Reddit WITHOUT linking the launch page (don't leak the traffic). Confirm the hunter's timezone and the 00:01 PST post time.
T-1 · Final check
Lock every asset. Draft the maker first comment (under 500 words, story-driven). Prepare 10 FAQ reply templates and ping 10–20 core supporters for tomorrow morning.
T-0 · Launch day
00:01 PST the hunter posts → 00:15 you post the maker first comment → reply in batches every 30 minutes (never solicit upvotes) → 14:00 PST push the second wave (mailing list + community) → 23:00 PST post a thank-you.
T+1 to T+7 · Momentum
Reply to every comment including the critical ones. Turn the Featured screenshot + numbers into a case study, set the "how we won" post as canonical, and import every upvoter email into your user pool.
Honest benchmarks beat hype — and cherry-picked numbers cost you AI-search citations. Calibrate against these before launch day.
| Outcome | Upvotes | Placement |
|---|---|---|
| Poor | 50–100 | — |
| Average | 200–400 | Top 10 |
| Good | 500–800 | Top 5 |
| Great | 800+ | Product of the Day |
Is this different from generic launch checklists I find on Google?
Yes. Most launch guides are written by people who have never launched anything. This is written by someone who has launched 30+ products to #1 and coached 150+ startups — exact DM scripts, timing windows, and per-platform community rules.
Does this work for non-AI products?
The frameworks apply broadly, but the examples are tuned for AI/developer tools. Physical products and service businesses see limited success on Product Hunt; for consumer apps pair it with the ASO & App Cold Start playbook.
Do I need a famous hunter?
No. Self-hunting is fine. If you do use a hunter, pick one with a successful hunt in the last 30 days in an adjacent domain — activity beats raw follower count every time.
What if I don't have a big existing audience?
That's exactly what this playbook addresses. The KOL outreach and hunter-coordination sections are built specifically for founders launching from zero platform.
Who built this?
Iris Wei (生姜) — former cofounder/COO of AFFiNE (60K+ GitHub stars, Forbes Asia 30 Under 30). Coached 30+ Product Hunt #1 launches and advised 150+ AI startups on go-to-market.