Tampo – One app for personal tasks and team projects

Hacker News

Hi everyone! I built Tampo, a task management app that combines personal tasks and team projects in one place. Why I built it: I noticed many people use different apps for personal vs team tasks, and some even manage business tasks inside WhatsApp chats — which leads to confusion. I wanted one clean app where personal work and team work stay separate but live in the same space. What it does: 1. Create personal or team projects 2. Invite members with email or link 3. Assign tasks with voice notes, attachments, and action points 4. Have dedicated discussions on each task 5. Custom statuses per project 6. Dashboard and activity log 7. Member permissions 8. Notifications 9. Notes feature 10. Home overview (today's tasks, overdue, unread notifications) 11. My Tasks screen (assigned to me / assigned by me) How I built it: I’m 20 and currently studying BS E-commerce. I’ve been coding for 4 years and love building products that solve real problems. Tampo is built using Flutter + Firebase for backend, authentication, and notifications. Link: https://tampoapp.com I’d love feedback on the app, UX, and performance. Happy to answer all questions!

Visit product View on Hacker NewsNov 27, 2025

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3points

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, email, activity · Missing: mac, agents, macos

88%88% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

36%36% 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

32%32% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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