Easily create montages with no vendor lock in

Hacker News

Hey all, I've made Digitapes because my wife and I frequently love going photos of when our 2 year old was born. Google Photos (and the icloud equivalent) loves to give us "montages" which really tickle our fancy, but they're never enough, and they don't pick the best photos (or what we would have picked) --- and what's more, is that we can never "share" the montage to our friends and family, because it's some in-app thing. If we try to look at memories from our holidays, it's usually that I have half the photos (google), and she has the other half (ios). -- basically everything is a big, locked in, inflexible, and annoying mess.. So I made Digitapes to allow us to: * Make a "tape" (which is like a mini photo album). * We can both "share to" (using the digitapes app) that tape, as if we were sharing in whatsapp. * In the background, digitapes will make the montage for us. So now, when we go on holidays, we can just take a bunch of photos, "share" the best ones to digitapes, and when the holiday is over, we can just download or link a url to that montage so that our friends can see what we were up to. I haven't gotten the android / ios apps "in the stores" yet, but let me know what you think and how I can make this better! (This is kinda really early first look)

Visit product View on Hacker NewsOct 30, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: wife, ios · Missing: supports, reddit linkedin, podcasting

92%92% 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: google, apps, using · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps, google · Missing: mobile apps, personal, entrepreneurs

51%51% predicted probability of success on TrustMRR, 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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

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.

Correct prediction on native model

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