Launch Intel
Pr

PrinceJS v1.7.7 Update. Down to 2.2 kB and top (13yo dev)

Hacker News

PrinceJS v1.7.7 Update. Down to 2.2 kB and top (13yo dev)

Hey HN (update from my Nov 21 post), Matthew here, 13 from Nigeria. After the autocannon correction (thx @saltyaom!), here's v1.7.7 of PrinceJS. New since launch: • Bundle: ~2.2 kB gzipped (tree-shaking tweaks, down 600 bytes) • Speed: 21,748 req/s on oha (-c 100 -z 30s, Bun 1.2.x) – top 3 confirmed • Vs others: Hono 22,124 | Elysia 25,312 | Express 9,325 Full server (8 lines): import { prince } from "princejs"; const app = prince(); app.get("/", () => "Hello world "); app.get("/users/:id", (req) => ({ id: req.params.id })); app.listen(3000); Cloud VM benchmarks next. Feedback on size/speed? Repo: https://github.com/MatthewTheCoder1218/princejs npm i princejs Matthew (@Lil_Prince_1218)

Visit productView on Hacker NewsNov 27, 2025
Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
TrustMRRLess likely to generate early MRR · Strong signals: users, para · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, code · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
38%38% 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: 000, io · Missing: https docs, excited, just released
25%25% 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
25%25% 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
22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Po
Pomolectron v1.1.0 (Update)26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pomolectron v1.1.0 (Update)

Hacker News2
Sc
Sci-Hub Scholar – Firefox Extension Update v1.242%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sci-Hub Scholar – Firefox Extension Update v1.2

Hacker News27
Go
Golongpoll v1.1 released33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Golongpoll v1.1 released

Hacker News3
go
gocryptfs, an aspiring successor to EncFS, now in v1.049%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

gocryptfs, an aspiring successor to EncFS, now in v1.0

Hacker News20
Ne
Neodoc v1.0.0-rc.128%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Neodoc v1.0.0-rc.1

Hacker News6
Re
Revivejs v1.1.028%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Revivejs v1.1.0

Hacker News1
Go
Go-Featureprocessing v1.0.028%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Go-Featureprocessing v1.0.0

Hacker News1
Py
Pyinfra v1.428%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pyinfra v1.4

Hacker News3
Am
Amfora v1.9.028%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Amfora v1.9.0

Hacker News1
In
IntroJS v1.0.0 released33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

IntroJS v1.0.0 released

Hacker News6
Browse all productsAnalyze your launch