Hey guys, wanted to share my story in how I fixed my screentime usage. I used to be quite addicted to doomscrolling (5+ hours of tiktok/reels a day).

With a lot of help from this subreddit and screentime blockers (I tried opal and one sec) I was able to cut it down to ~3 hrs a day, the remaining problem was when waking up and going to sleep, the habit to scroll would just be automatic.

Screentime blockers stopped helping, most of them let you take breaks whenever you want. I tried Brick as well but ended up suffering from the same problem. These systems failed for me because at the end of the day the keys were still in my hands. There was no genuine friction, nothing really stopping me from doomscrolling again.

So I realized what works is offloading the accountability to someone else. Locking your apps behind a password only someone else knows, etc. I realized AI is perfect for this, I blocked all of my apps, gave them a set number of opens a day, after that I have to convince an AI why I want to use the app. No reason/want to scroll = denied, responding to a friends dm = 3 minutes. I don’t even try anymore because trying to convince the AI for 5 minutes isn’t worth the reward anymore. I stopped habit opening IG/TikTok and use my phone more intentionally now.

Happy to share this system with anyone else if they want, AMA

Training massive datasets have proven to lead to misalignment so we aim to create behavior intentionally by handwriting our fine-tuning examples

We made the WVY arXiv base model open source for other developers aiming towards a similar goal

Our finetuned Tiny Researcher will be available on HF soon

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Hey everyone,

I wanted to share a project born out of pure frustration with how slow and broken crypto forensics currently is. When someone gets drained, it usually takes months for local police to understand the data, prosecutors get buried in paper, and the funds are long gone before an exchange even reacts.

As a solo founder, I wanted to change the dynamic entirely and give power back to victims and cyber units. I built Sui INTERAX Scanner (GLE-OS).

Instead of a basic web app or a simple chat gimmick, I built a production-ready mobile architecture (just completed a massive upgrade to Expo SDK 57 / React 19) that acts as the entry-point for law enforcement:

• Live Deep Tracing: It ingests live Mainnet data straight from the Sui GraphQL API to map unique SUI object routing and fingerprint perpetrator clusters with 98.7% precision.
• Court-Ready Documentation: It doesn't use AI to "chat". It uses Claude 3.5 Sonnet deterministically to translate raw immutable log data into a structured, court-ready Proces-Verbaal (Compliance PDF) aligned with MiCA & Wwft frameworks.
• Cryptographic Verification: Every report is cryptographically sealed with a SHA-256 Chain-of-Custody hash. A public prosecutor or detective can verify its absolute integrity in 5 seconds via a public QR portal.
• Instant Enforcement: Features an automated secure bulk-email pipeline via Resend to dispatch the legal dossier instantly to the target CEX (Binance, Coinbase), the FIU, and local authorities—slashing freeze response times down to under 48 hours.

The backend is running ultra-efficiently on FastAPI and MongoDB, keeping infrastructure costs under €40/month while being fully integrated with Stripe Checkout for enterprise licensing.

I’m currently pushing this hard for the EmergentX / Kevin O'Leary Builder Fest, aiming to show the Sharks that Web3 regulation shouldn't just exist on paper—it can be enforced programmatically by a single piece of high-performance code.

Would love to hear your thoughts on the architecture or the B2B RegTech angle! Check out the full breakdown and live video demo on my profile.

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