@ryanallis10CEO, AI Lounge & SaasRise
What did you ship this week? (Nov 13)
Every Friday: what did you ship? A feature, a repo, a demo, a landing page, a model, a post.
Link it if you can and say what you'd like feedback on. Then try one thing someone else shipped.
Comments5
worked on a learning app for enthusiats. The best time to learn and go deep on it! still in development but running a waitlist. So watching out for interested folks to join!
snapandlearn.app/?utm_source=email&utm_campaign=ai-lounge-platform-mwezuqze-b379fecf#join
This week I shipped awesome-circular-resources, a public curated list of open tools, data and policies on battery circularity, mineral traceability and resource transparency: github.com/Shirendev1/awesome-circular-resources
I also cleaned up my organization’s site, mcbis.org, so it’s clearer that our battery registration system is early-stage and still in development.
Feedback welcome: which open tools or datasets on circular economy or battery recycling should I add?
Shipped: A formal research paper and architectural framework: GTNEra® & Xeo-Physics: KILLING THE FLAT HUMAN-IN-THE-LOOP MODEL.
Instead of treating multi-agent workflows as a black box of raw token consumption, this research introduces a rigorous framework for agentic systems focusing on:
True Resource Efficiency — balancing system utility against total resource expenditure.
Five Core Architectural Dimensions — shifting evaluation from basic prompt activity to structural retention, state accumulation, and true systemic development.
The Economic Reality of Rework — analyzing how unmanaged correction loops quietly hemorrhage enterprise capital, backed by calculated operational scenarios.
Link: linkedin.com/pulse/gtnera-xeo-physics-killing-flat-human-in-the-loop-tetyana-leyendecker-rsice
Enkhtsetseg, a curated list on GitHub is a good asset, but it only reaches people who already browse GitHub. Consider giving each category (battery recycling data, mineral traceability, policy) its own short page on mcbis.org with a few entries and one line on why each is useful, and link to the repo from there. People searching "battery passport data sources" or "mineral traceability open datasets" land on a page, not a README. Add a last-updated date on each page and keep it honest, since lists go stale. Then check Search Console in a month to see which categories get impressions, and add datasets for those first. Which of the three categories gets the most questions from your users?
Shipped a forensic audio reverse-engineering repo: github.com/Metrix187/mpfr33-money
Back in 2020, MSCHF dropped "MPFR33 Money," claiming to distribute 24,902 algorithmically generated MP3s. Using FFmpeg + SciPy FFT cross-correlation, I proved the tracks were actually sliced 30s samples scraped from OpenAI's Jukebox explorer, slowed to 0.7x speed, selectively reversed, looped, and batch-processed through SoX 14.4.2—matching 172 files back to 71 Jukebox tracks at up to 0.96 correlation.
Feedback welcome: ideas on automating full-pool fingerprinting across all 24.9k files or cleaner ways to visualize the spectrogram alignments!
5 comments
worked on a learning app for enthusiats. The best time to learn and go deep on it! still in development but running a waitlist. So watching out for interested folks to join!
snapandlearn.app/?utm_source=email&utm_campaign=ai-lounge-platform-mwezuqze-b379fecf#join
This week I shipped awesome-circular-resources, a public curated list of open tools, data and policies on battery circularity, mineral traceability and resource transparency: github.com/Shirendev1/awesome-circular-resources
I also cleaned up my organization’s site, mcbis.org, so it’s clearer that our battery registration system is early-stage and still in development.
Feedback welcome: which open tools or datasets on circular economy or battery recycling should I add?
Shipped: A formal research paper and architectural framework: GTNEra® & Xeo-Physics: KILLING THE FLAT HUMAN-IN-THE-LOOP MODEL.
Instead of treating multi-agent workflows as a black box of raw token consumption, this research introduces a rigorous framework for agentic systems focusing on:
True Resource Efficiency — balancing system utility against total resource expenditure.
Five Core Architectural Dimensions — shifting evaluation from basic prompt activity to structural retention, state accumulation, and true systemic development.
The Economic Reality of Rework — analyzing how unmanaged correction loops quietly hemorrhage enterprise capital, backed by calculated operational scenarios.
Link: linkedin.com/pulse/gtnera-xeo-physics-killing-flat-human-in-the-loop-tetyana-leyendecker-rsice
Enkhtsetseg, a curated list on GitHub is a good asset, but it only reaches people who already browse GitHub. Consider giving each category (battery recycling data, mineral traceability, policy) its own short page on mcbis.org with a few entries and one line on why each is useful, and link to the repo from there. People searching "battery passport data sources" or "mineral traceability open datasets" land on a page, not a README. Add a last-updated date on each page and keep it honest, since lists go stale. Then check Search Console in a month to see which categories get impressions, and add datasets for those first. Which of the three categories gets the most questions from your users?
Shipped a forensic audio reverse-engineering repo: github.com/Metrix187/mpfr33-money
Back in 2020, MSCHF dropped "MPFR33 Money," claiming to distribute 24,902 algorithmically generated MP3s. Using FFmpeg + SciPy FFT cross-correlation, I proved the tracks were actually sliced 30s samples scraped from OpenAI's Jukebox explorer, slowed to 0.7x speed, selectively reversed, looped, and batch-processed through SoX 14.4.2—matching 172 files back to 71 Jukebox tracks at up to 0.96 correlation.
Feedback welcome: ideas on automating full-pool fingerprinting across all 24.9k files or cleaner ways to visualize the spectrogram alignments!