SA

SANPO, a service for sharing photowalk routes

Hacker News

SANPO, a service for sharing photowalk routes

Hi HN, I've built SANPO (http://sanpo.cc/) as a hobby project for the last month or so. The idea is to be able to share photowalk routes, and to be able to find out nice new places to go take pictures. Here's a presentation of SANPO I did last week at Pecha-Kucha here in Tokyo: http://pecha-kucha.org/presentations/305 It's really simple right now, but I'm trying to improve it a little every day. I'd love to know what you guys think of it. Some things that are in the works: - Automatically pull pictures from linked Flickr/Facebook albums - Add geotagged pictures to the map - Add comments to the route, Soundcloud-style Really looking forward to the feedback!

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, presentations · Missing: mac, agents, macos
80%80% 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
78%78% 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, io · Missing: https docs, excited, just released
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
36%36% 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
14%14% 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.

Incorrect prediction on native model

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