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Shoebox Plus Organizer – search, sort, and filter your Ancestry Shoebox

Hacker News

Shoebox Plus Organizer – search, sort, and filter your Ancestry Shoebox

As a genealogist for nearly two decades, including a stint as a Research Manager for Ancestry's research arm, AncestryProGenealogists, I have heard colleagues and clients alike complain about the "Shoebox," an Ancestry record bookmarking tool, lacking a mechanism to search, sort, and filter content. Once you've saved a few hundred documents, you must endure an endless paginated scroll, 25 records at a time. My solution: Shoebox Plus Organizer — a Manifest V3 Chrome extension that loads every page of your Shoebox in the background, then provides live full-text search, date sorting, and record-type filtering, all client-side over the DOM that's already rendered on the page. Everything runs on-device. No servers, no external API calls, no analytics. There's nowhere for the data to go. It doesn't scrape or automate faster than a human clicking through pages. Shoebox Plus Organizer reformats what's already loaded. Works across all 11 international Ancestry sites (.com, .co.uk, .ca, .com.au, .de, .fr, .se, .it, .com.mx, .ie, .es) in 6 languages. $25 one-time fee, no subscription. 14-day refund, no questions asked. Not affiliated with, endorsed by, or created by Ancestry. Available now: https://chromewebstore.google.com/detail/shoebox-plus-organi... . More detail at shoeboxplusorganizer.com.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, including · Missing: supports, reddit linkedin, podcasting
79%79% 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, plain · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: plus, calls · Missing: platform, intuitive, reviews
52%52% 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, including · Missing: https docs, excited, just released
33%33% 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 · Strong signals: subscription · 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 · 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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