Knotend – a keyboard-first flowchart editor

Hacker News

Hey HN, I made knotend [0] because I wanted a flowchart editor that was keyboard-first and super fast. I was tired of dragging boxes around on a canvas. You may have seen knotend around here before when I wrote an initial blog post [1] about why I wanted a new kind of flowchart editor. Thank you to everyone who has given me feedback here on HN! Since that blog post I’ve been working hard to get to a v1 which I’m showing now. You can use the free version without having to sign up for an account. I would love your feedback! What makes knotend different is two main things: 1) The nodes are constrained to a grid which enables a keyboard-centric experience for selection and navigation, and 2) there’s autolayout so each time you add a node, the graph automatically lays itself out and places each node in a cell. In the future I’ll be working on supporting more complex editing actions, linking graphs together, collaboration, and more. Please drop your feedback below, reach out on twitter [2], or email scott@knotend.com. [0] https://www.knotend.com [1] https://www.scottantipa.com/why-knotend [2] https://twitter.com/ScottyAntipa

Visit product View on Hacker NewsJan 25, 2023

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

75%75% 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

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

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

60%60% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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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