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Built a reusable Python pipeline to audit and prepare YOLO object-detection datasets. It checks image-label pairing, annotation formatting, class IDs, and bounding boxes, then creates reproducible train/validation/test splits. The demo processed 18 images, accepted 13 valid pairs, and identified 6 issues while preserving the original files.
The network for creativity
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"We can't afford a data analyst."
I've heard this from 3 different startups this year.
So I built one.
Metriva is an AI-powered business analyst that:
📊 Turns messy spreadsheets into executive dashboards
🧠 Writes C-level business briefs automatically
📈 Forecasts trends + detects anomalies
💬 Answers questions about your data in plain English
🎯 Finds your Pareto 80/20 — who drives 80% of your revenue?
No SQL. No Python. No data team.
Just upload your file and get answers.
Built with Flask, vanilla JS, and a lot of late nights.
🔗 Try it: metriva.ai1.vercel.app
#AI #BusinessIntelligence #Founder #IndieHacker #DataScience
The brief-writing piece is interesting — curious how you handle the validation step. AI-generated language tends to sound confident even when the underlying data is sparse or the trend is ambiguous. One pattern that helps: have the model output a confidence signal alongside the...
Ideogram 4.5 just launched and I stopped making new images and just kept editing one.
With the early access, I have been testing this new image model.
Most models get worse the longer you stay on one image. Pixel shift, color drift, texture junk. Ideogram 4.5 is built to cut that down, so you can keep going. I tried it across lighting, color, outfits, product shots, interiors, text, and close crops. Fast. And the parts I didn’t ask to change mostly stayed put. Here are some examples I made during the test.
Good work
A test execution and reporting solution demonstrating how automated test results can be presented through dashboards, execution summaries, screenshots, logs, and failure diagnostics. The setup helps identify failed scenarios quickly and provides better visibility into regression testing.
Skills demonstrated: Test Reporting, Regression Testing, Failure Analysis, Screenshots, Logs, Allure/HTML Reports, Test Analytics.
