Li

Listidge – for sharing lists. Wishlists, todo lists, collections etc.

Hacker News

Listidge – for sharing lists. Wishlists, todo lists, collections etc.

Hello HN, I'd like to introduce you to the first prototype of Listidge, a list-sharing web app. The demo went live yesterday and I'd love to hear your feedback. For the demo use the provided login demo/demo or you can register your own account (no email required). Listidge tries to make it super simple to create and share to-do lists, wishlists, collections and more with anyone. Once your list is ready for sharing you can publish to a URL that anyone can visit without logging in. I was frustrated with proprietary wishlists that lock you in and thought a simple "list sharing concept" could apply to lots of other things like to-dos, collections, mood boards etc. It's open source under the AGPL license, written in Python, Django and Bootstrap. It can be self-hosted and run from source or in a single container. Images are available on Docker Hub (links below) or build it from the provided Dockerfile in the repo. I am rusty on frontend dev so feedback would be much appreciated! The demo is limited to just three types of list and editing is crude: add/delete only. However I hope it's enough to demonstrate the overall idea. The demo: https://listidge-4k8mz.ondigitalocean.app/ The repo: https://gitlab.com/thegalagic/listidge The image: https://hub.docker.com/r/iantwenty/listidge Thanks in advance!

Share card

Actual performance

2points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: dock, email, single · Missing: mac, agents, macos
67%67% 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.
AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · 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

Similar products

Mondage
Mondage21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Todo lists centered around dependencies

Indie Hackers1productivity
Tu
Turn Invoices into Todo Lists54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn Invoices into Todo Lists

Hacker News1
Ym
Ymappr – a todo app using mapped lists instead of regular lists37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ymappr – a todo app using mapped lists instead of regular lists

Hacker News18
Di
Difference lists in Elixir60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Difference lists in Elixir

Hacker News1
Li
Listifi – Sharable Lists46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listifi – Sharable Lists

Hacker News5
Ge
Generic lists for C34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generic lists for C

Hacker News2
De
DealScoopr Lists46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DealScoopr Lists

Hacker News1
My
My Lists46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Lists

Hacker News3
To
To-do lists for nerds46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

To-do lists for nerds

Hacker News3
Packstack
Packstack30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Backpacking packing lists

Indie Hackers2outdoors