issa bi
294 posts


I built 10 Claude Code skills for Meta Ads
They're free. Here's what they do: 👇
Operations:
bleed-check: finds ad sets burning cash with zero conversions, pauses them
rebalance: shifts budget from losers to winners automatically
fatigue-scan: catches creative fatigue before your CPMs spike
weekly-report: pulls KPIs, compares WoW, sends to Slack
Creative & Intelligence:
spy: scrapes competitor ads from the Ad Library, diffs weekly
bulk-creative: generates 50–500 ad variations, renders to PNG
hooks: writes 50+ copy variations using PAS, AIDA, BAB frameworks
deploy-ads: reads a manifest, creates campaigns via API in minutes
Setup & Architecture:
setup-capi: generates production-ready Conversions API code
audience-audit: finds overlap, maps funnel stages, fixes exclusions
How to use them:
Drop the .md files into .claude/commands/
Set your Meta access token
Type /bleed-check, /spy, /hooks — it just runs
~25 hours/week of manual work → automated.
No complex setup. No code to write.
Just slash commands.
Full skill files + setup guide in the article.
Comment "CLAUDE" and I'll share the link
(must be following!)

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issa bi retweetledi

The future of video creation is here ⚡️
Use VEED with @elevenlabs, @OpenAI, on @n8n_io
Watch the full walkthrough:
• Plug-and-play templates
• Create 10+ videos in one click
• Scale your marketing, smarter
Want the template?
RT + comment “SCALE” and we’ll DM it to you
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My OpenClaw bot runs 6 AI agents 24/7 - and I'm giving away the exact skill file for free:
- Scouts local businesses without a website
- Audits their web presence and scores opportunities
- Builds a custom demo site + walkthrough video automatically
- Sends cold outreach with the live preview + payment link
- Handles objections and closes the sale via email
- Maintains existing clients on autopilot
Bring your own API keys. No subscription. Fully automated.
Reply "SKILL" and I'll send it to you (must be following)
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issa bi retweetledi

Ready to level up with Agent mode? 🤖
Show us what you've built! Share your Agent mode workflow and tag @TapNow for a chance to win.
🎁 Prize: 5,000 credits each for 50 lucky creators!
#tapnow #TapTV #createinpublic
TapNow@TapNow_AI
🎬We lead. Welcome to the age of Agentic Canvas. Meet your AI Executive Director — a proactive system that scripts, designs, and connects every node with total cinematic consistency. You provide the vision. We execute the masterpiece.
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This is what practical AI agents look like.
Hey Noah AI just launched an executive assistant that lives in SMS:
> Zero apps or dashboards
> Handles emails, scheduling, reservations..
> Learns from your behavior
We're shifting from "use this app" to "just text the agent"
Ashish Toshniwal@ashishtoshniwal
Introducing the world's first SMS/Voice executive AI assistant @HeyNoahAI, designed for very busy people who deeply care about their professional relationships. Noah waitlists 7 out of 10 people, depending on their calendar RT + comment "NOAH" and I'll send you the VIP onboarding link for FREE.
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Dropping Hailuo Light Studio
Cinematic Crew in Your Pocket
→Fine-tune every detail: angle, intensity & color temp
→Layer your lights: mix dual sources for pro setups
→20 signature presets, ready in a click
Jump in with free trials!
Follow @Hailuo_AI +comment +like for Free Max Plan.
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My OpenClaw bot runs 6 AI agents 24/7:
- Finds local businesses without a website
- Builds a custom demo site for them automatically
- Sends outreach with the preview + payment link
- Handles objections and closes the sale
Most local businesses don't have a website, this system finds them, pitches them, and collects payment automatically
Reply "OpenClaw" and I'll send you early access (must be following)
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issa bi retweetledi
issa bi retweetledi

@amasad I built Imputation OHADA using the incredible new Agent 4! 🐘
It’s an AI accounting tool: you type a financial transaction in plain language, and it instantly generates the exact SYSCOHADA accounting entries (Debits/Credits)
Watch the demo of the build below 👇
#ReplitAgent4
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issa bi retweetledi

🚨Free Seedance 2.0 Film Set Giveaway!🚨
Open Source Virtual Film Set with Seedance 2.0
Giving 10 monthly subs. How to win
⚡️ Like, repost, and comment "seedance"
⏰ 10 lucky winners will be announced in the next 24 hours
Must be following @get_artcraft !
Your Film Studio
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issa bi retweetledi

Three days ago I left autoresearch tuning nanochat for ~2 days on depth=12 model. It found ~20 changes that improved the validation loss. I tested these changes yesterday and all of them were additive and transferred to larger (depth=24) models. Stacking up all of these changes, today I measured that the leaderboard's "Time to GPT-2" drops from 2.02 hours to 1.80 hours (~11% improvement), this will be the new leaderboard entry. So yes, these are real improvements and they make an actual difference. I am mildly surprised that my very first naive attempt already worked this well on top of what I thought was already a fairly manually well-tuned project.
This is a first for me because I am very used to doing the iterative optimization of neural network training manually. You come up with ideas, you implement them, you check if they work (better validation loss), you come up with new ideas based on that, you read some papers for inspiration, etc etc. This is the bread and butter of what I do daily for 2 decades. Seeing the agent do this entire workflow end-to-end and all by itself as it worked through approx. 700 changes autonomously is wild. It really looked at the sequence of results of experiments and used that to plan the next ones. It's not novel, ground-breaking "research" (yet), but all the adjustments are "real", I didn't find them manually previously, and they stack up and actually improved nanochat. Among the bigger things e.g.:
- It noticed an oversight that my parameterless QKnorm didn't have a scaler multiplier attached, so my attention was too diffuse. The agent found multipliers to sharpen it, pointing to future work.
- It found that the Value Embeddings really like regularization and I wasn't applying any (oops).
- It found that my banded attention was too conservative (i forgot to tune it).
- It found that AdamW betas were all messed up.
- It tuned the weight decay schedule.
- It tuned the network initialization.
This is on top of all the tuning I've already done over a good amount of time. The exact commit is here, from this "round 1" of autoresearch. I am going to kick off "round 2", and in parallel I am looking at how multiple agents can collaborate to unlock parallelism.
github.com/karpathy/nanoc…
All LLM frontier labs will do this. It's the final boss battle. It's a lot more complex at scale of course - you don't just have a single train. py file to tune. But doing it is "just engineering" and it's going to work. You spin up a swarm of agents, you have them collaborate to tune smaller models, you promote the most promising ideas to increasingly larger scales, and humans (optionally) contribute on the edges.
And more generally, *any* metric you care about that is reasonably efficient to evaluate (or that has more efficient proxy metrics such as training a smaller network) can be autoresearched by an agent swarm. It's worth thinking about whether your problem falls into this bucket too.

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"AI Is Replacing Everyone Except Humans" - ARQ
We're automating everything a film studio does.
Except the idea. The artist. The craft.
We work with top brands and governments to redefine what AI filmmaking looks like.
We're building a home for the creatives who want to do the same.
Giving away 3 exclusive access codes to our filmmaking tool.
Reply "CODE" to enter. (Must be following so i can DM)
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