Mywanderlustmap.com - chat, locations, get ticket info, upload photos

Hacker News

Hi all! I recently created this Wanderlust Map based on the awesome wanderlust demo from OpenAI demo day and it's sort of taken on it's own life. I would love some feedback. You can chat, get locations, get ticket info, upload photos of places of interest to go to places, upload documents to extract data about locations, flights and chat in several different languages with build in text to speech. I recently added google auth to allow ppl to save their threads and past trips. I am looking for a co-founder and any advice on how to develop this idea. I also nabbed a few other good domains such as TravelMapGPT and Mapg.pt :D

Visit product View on Hacker NewsNov 15, 2023

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

72%72% 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 HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

44%44% 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

39%39% 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

38%38% predicted probability of success on AppSumo, 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

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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