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TradesPurple – Save and share the tradespeople you trust

Hacker News

TradesPurple – Save and share the tradespeople you trust

Many people have bad experience with tradespeople marketplaces -- and prefer local recommendations from neighbours, usually asked in Facebook or WhatsApp. But this results in lots of copy and pasting, an address book full of "Max plumber" and "Jane actually good plumber", which struggle to find when you need them. TradesPurple makes it easy to save your trusted tradespeople in one place, contact them easily and share your whole list with neighbours in need. See my example page (UK) at https://tradespurple.com/maxtb and my neighbourhood page at https://tradespurple.com/HP22 The core functionality is intended to be free, and if people like it, we would build useful and valuable features like automation and managing jobs, or agents AI, or WhatsApp integration as an upgrade. Love any thoughts and feedback.

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best fitHighest predicted score across all platforms for this description.
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38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
27%27% 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 · Missing: mobile apps, ios, personal
26%26% 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
18%18% 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.

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