St

Strich – Barcode scanning for web apps

Hacker News

Strich – Barcode scanning for web apps

Hi, I'm Alex - the creator of STRICH ( https://strich.io ), a barcode scanning library for web apps. Barcode scanning in web apps is nothing new. In my previous work experience, I've had the opportunity to use both high-end commercial offerings (e.g. Scandit) and OSS libraries like QuaggaJS or ZXing-JS in a wide range of customer projects, mainly in logistics. I became dissatisfied with both. The established commercial offerings had five- to six-figure license fees and the developer experience was not always optimal. The web browser as a platform also seemed not to be the main priority for these players. The open source libraries are essentially unmaintained and not suitable for commercial use due to the lack of support. Also the recognition performance is not enough for some cases - for a detailed comparison see https://strich.io/comparison-with-oss.html Having dabbled a bit in Computer Vision topics before, and armed with an understanding of the market situation, I set out to build an alternative to fill the gap between the two worlds. After almost two years of on-and-off development and 6 months of piloting with a key customer, STRICH launched at beginning of this year. STRICH is built exclusively for web browsers running on smartphones. I believe the vast majority of barcode scanning apps are in-house line of business apps that benefit from distribution outside of app stores and a single codebase with abundant developer resources. Barcode scanning in web apps is efficient and avoids platform risk and unnecessary costs associated with developing and publishing native apps.

Share card

Actual performance

78points
63comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, computer, new · Missing: mac, agents, macos
91%91% 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
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: apps, month, way · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, exclusive, efficient · Missing: plus, intuitive, reviews
53%53% 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 · Strong signals: smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

De
Declarative Abstraction for Assembling Web Apps (WIP)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Declarative Abstraction for Assembling Web Apps (WIP)

Hacker News3
Na
Narrativ - HTML5 multimedia authoring for web & apps71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Narrativ - HTML5 multimedia authoring for web & apps

Hacker News1
Ap
AppCoral – Yelp for Web Apps65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AppCoral – Yelp for Web Apps

Hacker News1
We
Web Apps for Researchers61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Web Apps for Researchers

Hacker News1
Te
Textual Web – turn TUIs in to web apps81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Textual Web – turn TUIs in to web apps

Hacker News5
SpektrHQ
SpektrHQ55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vulnerability Scanning for Ruby on Rails apps!

Indie Hackers1programming
Br
Bricabrac – Text to Functional Web Apps67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bricabrac – Text to Functional Web Apps

Hacker News3
Co
CouchDB Web Apps for Business62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CouchDB Web Apps for Business

Hacker News2
Ozkour
Ozkour51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI contextual assistant for web apps

Indie Hackers1ai
Ea
Easy CouchDB Web Apps65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easy CouchDB Web Apps

Hacker News2