GOLO, a simple personal project management app

Hacker News

GOLO: http://getgolo.com To be honest, its a personal itch project. Reasoning behind the project is that I needed something extremely simple to do project management for very small teams (3-6). Golo has only 2 entities in a project: task-name & priority (0-1000). Use priority number to group tasks together and order them too. There is no concept of logins. An access link is emailed to you every time you request it including sign ups. The app has persistent sessions. Its not super secure by any standards and hence DO NOT put sensitive data in there. Its only for management purposes. I know its not even Show-HN quality yet but I would love to get as much feedback as possible while I am building it rather than later. So thank you guys in advance for checking it out.

Visit product View on Hacker NewsFeb 2, 2015

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5points

7comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, tasks, project management · Missing: mac, agents, macos

78%78% 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: including · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io, including · Missing: https docs, excited, just released

49%49% 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 · Missing: arr, mrr, revenue

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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