u/ImRaym

Hello!  Yes we had aime migration difficulty but website is back full trhust with the new scoring engine, in time for maybe the next Bull market!

I didn't tested img to img extensievly yet, il will Try.

But gpt image 2 seems to support 4k, no?? (But Ai video Yes, still Stuck around 720-1080 for major models..)

haha "floridian aggressive vehicular borrowing simulator" is going straight in the system prompt

for ff the hud was surprisingly consistent. the prompt enhancer writes the motion prompt with explicit stuff like "hud doesnt move, only minimap animates" -> it knows from context that if the character just moves, only the minimap should animate (no battle so battle ui stays locked). video model isnt guessing what's ui vs world. helps a lot.

but yeah longer format is the real test. I can push a longer gen next batch and see how it holds.

Yes. Every signed waiver lands in a searchable dashboard with all the info your form collects, so you can: - Build custom form fields for anything you need (medical, emergency contact, certs, membership #, etc.) - Per-waiver PDF with signature + timestamp + audit trail - CSV bulk export of your full waiver data on Pro

Direct Zapier/webhooks and Google Sheets sync are shipping next week, so you'll be able to pipe new signings straight into Airtable, HubSpot, Notion, Sheets, your CRM, whatever you're on.

yep + i don't retain the first one as I put myself in the right line directly, it save some mental focus

WaiverKit: https://waiverkit.io

Digital waiver software for small activity businesses (gyms, camps, escape rooms, kayak rentals, tattoo shops). Replaces paper clipboards with a QR at the door and a searchable PDF archive. Built it last week. Would love the visibility, appreciate you doing this.

c29c85

Pricing: free plan for trying it (30 waivers/mo). Starter $19/mo for 500 waivers (SmartWaiver's $19 tier is 100). Pro $49/mo unlocks QR Kiosk, parent/minor consent, and multi-language. Full pricing and more at:
waiverkit.io
Paintball-specific page: waiverkit.io/industries/paintball

Link: https://waiverkit.io

Quick pricing note:

- Free: 30 waivers/mo.

- Starter $19/mo: 500 waivers. For context, SmartWaiver's $19 tier is 100 waivers, WaiverForever's is 50.

- Pro $49/mo: unlocks QR Kiosk, parent/minor consent, multi-language, 5,000 waivers.

Thank you! Currently there is a refresh mechanics making them updated approximatively every 10-12 days. I m working on a smart refresh, to really focus on what need the more refresh ans what doesnt move ans dont need it as often

Never saw this either. Would be nice :D

Thanks!

As I use directly the Claude code headless mode it is really just $200/mo + 2 other data api that ads up totaling $300/mo. Claude is using weekly 90-95% of the limits (depending on some live analysis feature for users) so i just don't need any extra usage 🤣

To be more precise it does not live exactly with the production. It act like an external backend that interact trough some api, and PRs for other task.

I use api for most of the data I can, then llm for the rest + thinking process + redacting. When writing blog / or redacting analysis it's still need to be verified carefully, this setup helps a lot and from experience avoided a lot of issue

Yes I do normal enginering, just sharing what I do, did I claim to be magic wizzard?

No it can't, you think I started on a $32 VPS? (Edit: it can but with a lot of timeout and downs..)

ahahah heureusement c'était seulement la fin de la première zone et pas la dernière😬

Exactly, it sadly didn't worked the way back ahah

Each agent returns a full verdict (PASS/WARN/FAIL) with specific issues. All 7 individual outputs are preserved in the validation report before consensus. Hallucination detector FAIL blocks publishing regardless of what the other 6 say. I don't track divergence patterns over time though, that's a good idea.

Fair point. I meant no LangChain/CrewAI/AutoGen. The patterns emerged from iteration, not from importing a library.

Copy paste form my above response. it's basically a lot of api, and smart analysis by a lot of llm.

Each dimension is scored 0-100 using LLM-orchestrated analysis with live API data:

Sustainability - Treasury runway, burn rate, team stability, regulatory positioning. Agents pull financial data and assess long-term viability.

Transparency - Founder visibility, public governance votes, update frequency, incident response. Agents cross-check team claims against LinkedIn, GitHub profiles, and public records.

Revenue - Actual protocol fees and cash flow from Token Terminal and DeFi Llama. Aave generates $83M/month in fees. PEPE generates zero. That gap shows in the score.

Innovation - GitHub commits normalized for project age, unique dev count, novel tech. Agents check org-level repos via GitHub API, not just the main one. Some projects look active on one repo but have 20 dead ones.

Community - DAU, ecosystem dApps, developer count, organic social growth with bot filtering. High followers with no engagement = low score.

Tokenomics - Inflation rate, unlock schedules, insider concentration, value accrual. If top 10 wallets hold 80%+ supply, that tanks the score.

The whole pipeline runs 24/7 on a VPS with dozens of AI agents orchestrated through API calls, cron jobs, and multi-agent consensus. Every score gets validated by a multiple other ia, hallucination detector etc.. before publishing. Revenue is null for store-of-value assets like Bitcoin, so it averages the remaining five.

I can dive a bit on it yes!
Each dimension is scored 0-100 using LLM-orchestrated analysis with live API data:

Sustainability - Treasury runway, burn rate, team stability, regulatory positioning. Agents pull financial data and assess long-term viability.

Transparency - Founder visibility, public governance votes, update frequency, incident response. Agents cross-check team claims against LinkedIn, GitHub profiles, and public records.

Revenue - Actual protocol fees and cash flow from Token Terminal and DeFi Llama. Aave generates $83M/month in fees. PEPE generates zero. That gap shows in the score.

Innovation - GitHub commits normalized for project age, unique dev count, novel tech. Agents check org-level repos via GitHub API, not just the main one. Some projects look active on one repo but have 20 dead ones.

Community - DAU, ecosystem dApps, developer count, organic social growth with bot filtering. High followers with no engagement = low score.

Tokenomics - Inflation rate, unlock schedules, insider concentration, value accrual. If top 10 wallets hold 80%+ supply, that tanks the score.

The whole pipeline runs 24/7 on a VPS with dozens of AI agents orchestrated through API calls, cron jobs, and multi-agent consensus. Every score gets validated by a multiple other ia, hallucination detector etc.. before publishing. Revenue is null for store-of-value assets like Bitcoin, so it averages the remaining five.

the url https://coira.io/

Thanks! Let me know what you think after trying it.

Salamat! Happy to share.

Glad it helps! That's exactly why I built it, making crypto research accessible without needing to be an expert.

Cool effect and feels, nice job !