Launch Intel
A

A simple dictionary and vocab builder (Rust, Svelte, Tauri)

Hacker News

A simple dictionary and vocab builder (Rust, Svelte, Tauri)

I love learning new words. However, I tend to forget them. When I find a new word, I’ll look up its definition and then save it to wherever is most convenient (Obsidian, my notes app, or I just keep the tab open in Safari). Collating these sources is a nightmare. I’ve tried various flashcard tools, but none are free, easy to use, available on mobile, and support spaced repetition. deft is the simplest app I could make to meet these goals: * Built-in dictionary * Spaced repetition * Completely offline The dictionary uses wiktionary.org. The spaced repetition algorithm is fsrs, which is similar to Anki. iOS App Store: https://apps.apple.com/us/app/deft-vocabulary-flashcards/id6... Website: https://deft.limn.so/

Visit productView on Hacker NewsJan 26, 2025
Share card

Actual performance

4points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
82%82% 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.
TrustMRRFits verified-revenue profile · Strong signals: ios, apps · Missing: mobile apps, personal, entrepreneurs
65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, new · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: builder · Missing: plus, platform, intuitive
52%52% 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
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

Similar products

Si
Simple Rust Microservices61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Rust Microservices

Hacker News3
Ti
Tick, a simple async tokio example for Rust49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tick, a simple async tokio example for Rust

Hacker News2
Si
Simple Planetarium in Rust55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Planetarium in Rust

Hacker News2
ru
rustorm – A simple ORM for rust68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

rustorm – A simple ORM for rust

Hacker News5
Wo
WordBueno: sleek dictionary built with Rust and Svelte46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WordBueno: sleek dictionary built with Rust and Svelte

Hacker News2
We
Webdict - A dictionary pkg for Nodejs26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Webdict - A dictionary pkg for Nodejs

Hacker News1
An
An emoji dictionary written in Svelte/Rust51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An emoji dictionary written in Svelte/Rust

Hacker News11
A
A simple worklog tool on rust egui46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A simple worklog tool on rust egui

Hacker News1
Of
Off-rs – A simple .off file parsing lib for Rust36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Off-rs – A simple .off file parsing lib for Rust

Hacker News2
Sc
Screencast: An Introduction to Rust57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Screencast: An Introduction to Rust

Hacker News3
Browse all productsAnalyze your launch