Taco - Basecamp to Zendesk, All Your Tasks in One Place

Hacker News

For the past 23 months, we have using, iterating on, and - eventually - loving the prototype of a web app we call Taco. Taco is a task list, except...it's not. It works with the task lists we (and many others on HN) already use, like Basecamp, GitHub Issues, Google Tasks, Zendesk, and RSS feeds and brings them together on a single screen. This allows us to prioritize tasks across multiple task services and figure out what exactly needs to get done each day. We've discovered that we don't need more ways to create tasks, we need ways to confidently decide which one is most important and finish it. A couple weeks ago we decided we were ready to try to bring peaceful productivity to others. So we setup a Kickstarter campaign and as of today, it's 141% funded. Learn more at http://tacoapp.com (includes Kickstarter link).

Visit product View on Hacker NewsJun 28, 2013

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, single, tasks · Missing: mac, agents, macos

86%86% 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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

68%68% 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, google, way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% 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

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

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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