Simple Alternative to Complex Project Management for Freelancers

Hacker News

We're really happy to share EnkiTask.com with everyone — it's a simple and affordable project management tool we built as an alternative to the overly complicated options out there. Whether you’re managing a small team or juggling dynamic projects, EnkiTask is all about keeping things straightforward and easy to use. The reason we decided to build EnkiTask.com was pretty simple: after trying a bunch of popular project management tools like Trello, Asana, and Jira, none of them really hit the mark for us. Some, like Trello, came close, but they still had drawbacks. Most of the others were either too complicated, packed with features we didn’t need, or had a clunky interface. And then there was the pricing — we didn’t want to get stuck paying monthly for team members who might only be active for a short time, especially since our team changes a lot. So, we built EnkiTask.com to keep things clean, simple, and easy to use, with flexible pricing that doesn’t penalize you for having a dynamic team. Instead of locking users into monthly or yearly subscriptions, we decided to ditch recurring payments altogether. With EnkiTask, you can buy task packages for really small amounts, so you only pay for what you actually need, when you need it. We’re not trying to create the next “super killer” software or anything like that. We built EnkiTask.com for ourselves, using it intensively to meet our own needs. After showing it to our friends and family, we received a lot of positive feedback, which motivated us to make it publicly available. This is just our first version, and we’re constantly adding more functionality as add-ons, keeping the core features clean and easy to use. Check it out and let us know your thoughts: https://enkitask.com

Visit product View on Hacker NewsSep 12, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

93%93% 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: user, project management, using · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: interface, users · Missing: plus, platform, intuitive

56%56% 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 · Missing: https docs, excited, just released

39%39% 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: month, monthly, users · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: recurring, subscription, active · 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 · 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

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