I

I made a minimalist writing tool

Hacker News

I made a minimalist writing tool

This is the first ever release of Thunk!! Thunk is a very simple and minimalist writing tool for anything you want: notes, blog posts, to-dos, recipes, bullet journals, etc. What makes it different besides simplicity? Quite a bit. 1. Pages are cheap-you can quickly add them and just as quickly forget about them (they get "lost") 2. Pages are indexed so you can search them like you search webpages on the internet 3. Pages are formatted using a Markdown-like notation 4. Easily usable on mobile as there is no need for a bunch of toolbars 5. Git-like versioning-no change is ever lost and you can move between all the changes 6. Included helper tools: lookup dictionary, thesaurus, and wikipedia from within the app 7. Collections: create a Page consisting of other Pages Unfortunately, I haven't created a landing page yet. To try the app you only enter the email and a login link will be sent to you (there is no registration step). Once you register, there is a Page that presents all the features.

Visit product View on Hacker NewsMar 7, 2022

Actual performance

2points

2comments

Did not reach leaderboard

Launch Intel predictions

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

67%67% 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.

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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

35%35% 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

34%34% 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.

Incorrect prediction on native model

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