Feature-to-channel fit before launch distribution
Pick launch channels per feature instead of recycling the same announcement stack for every release.
Why this can grow a startup
A feature aimed at designers, data teams, or developers does not need the same room to spread. When the team chooses channels based on who the feature is for, the launch gets sharper reactions, better follow-up questions, and more efficient sharing. It also prevents the common mistake of treating every release like a generic company update.
Source-backed example
Supabase said ui.supabase.com was pushed through front-end and design channels, plus Product Hunt and friendly designers, while its file storage launch leaned toward Hacker News and technical conference audiences more interested in DX than UI components.
Source-reported evidence
Source: Product Hunt · Browse Product Hunt tactics
Supabase used different channel mixes for ui.supabase.com and Storage instead of one shared launch pattern.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
Source discovered: May 26, 2026
When to use it
Use this when Launches, Product Hunt, Hacker News is relevant to channel selection, audience targeting, launch distribution and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Follow Hacker News community guidelines: do not solicit votes, comments, or submissions; share a useful working demo and an original explanation.
- Record a baseline for: Target users from this channel who complete the intended first action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
Explore the context
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Apply this with an operator
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