A

A X/Twitter bot that creates Google Maps lists

Hacker News

A X/Twitter bot that creates Google Maps lists

I'd love your feedback on my latest project. To try it for free, simply reply "@maplistbot create a list" to any thread with place recommendations. The bot will reply with a Google Maps link to your newly created list of places. If you like it and want to explore the Pro features, use the code PH40 for a 40% discount. Pro Features include: - Lists include notes for each place - Unlimited places in the list (Free version is limited to 10) - Add places to your already existing Google Maps lists - Create lists by category. For example, create a list with the restaurants mentioned in the thread but ignore the sightseeing places.

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Actual performance

5points
1comments
Did not reach leaderboard

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, notes · Missing: mac, agents, macos
68%68% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, 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.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
44%44% 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
35%35% 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
13%13% 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
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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