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tillywork - opensource work management (monday.com alternative)

Hacker News

tillywork - opensource work management (monday.com alternative)

Today we released our MVP for tillywork - an opensource, self-hostable work management software. tillywork has 3 modules: 1. Project Management: Think Trello/ClickUp/Asana, helps you manage your projects and tasks. 2. Sales CRM: For marketing/sales work 3. Agile Projects: Jira/Github Projects alternative, for technical and product people You can find us at: - Github: https://github.com/tillywork/tillywork - Our website: https://tilly.work - Discord: https://discord.gg/Ttn4WeNJbb We're MIT licensed, so you can edit our code, use it personally or commercially with no issues. We'd appreciate if you gave it a shot and send some feedback our way!

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Actual performance

5points
4comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: tasks, project management, code · Missing: mac, agents, macos
69%69% 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
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
52%52% 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: personal, way · Missing: mobile apps, ios, entrepreneurs
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
25%25% 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
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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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