Manage Code Snippets Fast

Hacker News

We’ve all been there: searching for that one code snippet we know we used before. While tools like ChatGPT are amazing for new ideas, for repeated tasks, they’re slow and unreliable. Shell history is fast but limited. What I would like to have: - Fuzzy Search: very-fast snippet lookup with an fzf-style interface. - Dynamic Templating: Jinja2-style syntax. - Deep Shell Integration: tab-completion Why Rust? Because some of the fastest libraries in existence can be deployed. If this sounds like it might also help your workflow give it a try: cargo install rsnip I'd appreciate your feedback!

Visit product View on Hacker NewsJan 26, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

81%81% 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.

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

49%49% 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

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Snucket – Keep your snippets where your code is48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Snucket – Keep your snippets where your code is

Hacker News4

Jekyll/Pelican/etc for code snippets43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jekyll/Pelican/etc for code snippets

Hacker News3

Animating code snippets from first principles56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Animating code snippets from first principles

Hacker News1

Manage WordPress Code Snippets34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Manage WordPress Code Snippets

Hacker News4

WPTurbo47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate WordPress code snippets blazing fast

AppSumo19

pbcopy/pbpaste across machines via Gitlab Snippets38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

pbcopy/pbpaste across machines via Gitlab Snippets

Hacker News55

HTML5 & CSS3 snippets56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HTML5 & CSS3 snippets

Hacker News1

Onbootstrap13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bootstrap Snippets

Indie Hackers

CodeKeep, Google Keep for Code Snippets47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CodeKeep, Google Keep for Code Snippets

Hacker News2

SnipSnip – share code snippets over Nostr43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SnipSnip – share code snippets over Nostr

Hacker News2

Browse all products Analyze your launch