An
Animating code snippets from first principles
Hacker NewsAnimating code snippets from first principles
If you've ever tried using Apple Keynote's "Magic Move" to transition between two code snippets during a presentation, you know the pain. Here is how I ended up solving the problem from first principles, by using an algorithm from 1978. https://rahulrav.com/blog/magic_move.html
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, using, code · Missing: mac, agents, macos84%84% 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: io · Missing: https docs, excited, just released57%57% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%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, personal40%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, revenue15%15% 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, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Sn
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 News4Je
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 News3pb
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 News55HT
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 News1Onbootstrap13%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 HackersCo
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 News2Sn
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 News2I
I made a code snippets manager51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a code snippets manager
Hacker News1Us
Usable RosettaCode: Code snippets for 2 languages side-by-side50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Usable RosettaCode: Code snippets for 2 languages side-by-side
Hacker News22li
library of the code snippets45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
library of the code snippets
Hacker News2