I Launched a “Fun” Web App for Developers

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I strongly believe that every developer is a teacher and likewise. Every time you are asked to help someone else understand your code, you’ll always be grateful to be able to share your own knowledge with others. Explain Code App is the place you can make this happen! I am eager to hear your thoughts on what I have put together so far. Would love to hear your feedback! Let me know if there are any other features you would like for this site, I’m open for ideas and would love the community feedback. Here is the link: https://www.explaincode.app/

Visit product View on Hacker NewsJan 4, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open, plain · Missing: mac, agents, macos

79%79% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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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