I

I built a tool to convert WhatsApp chats to PDF

Hacker News

I built a tool to convert WhatsApp chats to PDF

Hey HN! I built ChatToPDF to solve a problem I kept running into: needing to archive WhatsApp conversations for documentation, legal records, or just memories, but finding WhatsApp's export format terrible for sharing or long-term storage. What it does: Converts WhatsApp's .txt export files into clean, readable PDFs Preserves the original chat formatting and timestamps Why I built this: I needed to document some customer support conversations for my business, and WhatsApp's plain text export is basically unreadable for long chats. I wanted something that just works, respects privacy, and produces professional-looking output.

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Actual performance

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: plain · Missing: mac, agents, macos
32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
25%25% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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