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Flickoutr Fixes Flickr Photo Sharing

Hacker News

Flickoutr Fixes Flickr Photo Sharing

For a while now I've been pissed off with Flickr's own silent failing whenever it tries to auto-share my new image uploads to Facebook and doesn't have the smarts to take into account Facebook Graph uses OAuth2 and has an expiry on their access tokens. I also don't like the fact I had only one option (share all or none). Flickoutr fixes all this. Built with the Flickr API it warns a user when they need to renew Facebook authentication for the app, and gives them a nice and simple url to click to do so. No fumbling about the Flickr help forum or Googling. It also allows Flickr users to share by tag or set. And thanks to some good old fashioned feature creep, for Flickr Group admins it supports sharing to Facebook groups & pages too.

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
91%91% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
44%44% 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
42%42% 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 · Strong signals: users · Missing: mobile apps, ios, personal
39%39% 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 · Strong signals: smart · 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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