
لوحة المعلومات — مكتب أعضاء هيئة التدريس
Manage faculty members' data, ranks, promotions, and teaching loads in academic institutions.
@FalhdirA · X
Check out what I just built with Lovable!
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Manage faculty members' data, ranks, promotions, and teaching loads in academic institutions.
@FalhdirA · X
Check out what I just built with Lovable!

Classify AI systems and generate EU AI Act compliance documentation for SMEs.
@Moha__niang · X
See estimated energy, carbon, and water impact of AI-generated content in relatable units.
daniloedu · HN
Energy, carbon and water estimates for AI content, shown as ranges

Extract structured data from PDFs automatically using AI for automated workflows.
u/yonnnyy · Reddit
How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this

Extract text from PDFs using swappable OCR models through one REST API.
nmatej1 · HN
OpenParser – swappable OCR models in one API

Search 600M+ financial datapoints including fundamentals, filings, and transcripts across 2,900+ companies.
u/SnowSilent7695 · Reddit
Got my first 60 signups through Reddit and want to continue the momentum I've gotten my first 60 signups through Reddit over two months and feel like I have a good thing going. I'm positioning my app as the Bloomberg Terminal for Everyday Investors where you can search over 600M+ financial datapoints in Claude, ChatGPT, or with your own AI Agent at an affordable price. There are other competitors trying to do something similar, but to my knowledge, they seem to be focused on specific us

Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X

Analyze Hacker News profiles with your own LLM API key, fully client-side.
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma

Implement a GDPR-compliant cookie consent banner with automatic scanning and Google Consent Mode V2.
@13_narcissus · X
I am on my road to 1K followers, you are near so, let's connect!

Scan websites for accessibility and privacy compliance issues using AI.
@tobio_ojebiyi · X

Upload customer data to identify churn risk and get retention strategies.
u/ajaysurya_ · Reddit
Looking for feedback Built Bayeso after realizing most churn prediction tools ignore small businesses. Looking for feedback. hey everyone, i've been working on bayeso ( https://bayeso.tech ), an ai platform built for businesses that don't have massive datasets. while building it, i kept running into the same problem. almost every churn prediction solution is designed for companies with thousands or even millions of customer records. if you're a small business with a few hundred customer

Data Behavioral Diff — built on Replit. Update this description to reflect the app.
@NikhilTrip92740 · X
Building DeltaData for data engineers — it detects how SQL changes affect actual data behavior, catching regressions that normal code reviews/tests can miss. Would love feedback: