We released our developer conversion funnel featire

Hacker News

Hey HN, I'm Derric, CEO of https://www.moesif.com. Over the Thanksgiving weekend, we released our Conversion Funnel feature (https://www.moesif.com/docs/user-analytics/conversion-funnel-analysis/) for API platforms. Conversion funnels are an easy way to measure developer adoption metrics like Time to First Hello World (TTFHW) and Time to First Working App (TTFWA). We built Moesif to help API-first companies understand how customers use their APIs to plan a better product strategy that drives actual growth. If you have any questions or any feature ideas especially if you're an API first company, please share!

Visit product View on Hacker NewsDec 3, 2019

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, apis · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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