Ismail Khan

@Parul_Gautam7 @Karpo_AI A product that literally pays for your memories to be recreated that's clever marketing

Dinner is on @Karpo_AI tonight! 💸 They sponsored $200 after I texted them about the ultimate fancy dinner I’ve been craving to relive. #karpopaymybill: app.karpo.ai/activity?aid=p… Your turn! Tell Karpo about a wish or a moment you want to recreate, and you could get up to $200 too. The clock is ticking—48 hours only! 🏃💨

@thetripathi58 This is the kind of builder story that inspires devs

Perplexity proved you don't need a browser to find answers. FlashClaw proves you don't need a computer to run agents.

@getsurething @mindragon This is the kind of builder story that inspires devs

He contributed early to OpenClaw. Then he found us. 300,000 emails. Tamed in one hour. Everybody else failed. "OpenClaw is Linux. I want a Mac." A MUST-SEE after OpenClaw went viral — What's next? 🎬 Full 25min Deep Interview with Mr. Jefferson @mindragon 👇

@Logical_Girll The intersection of AI recommendations and real-world experiences is getting really interesting.

AI sponsoring your real-life plans is actually a pretty cool idea. Text your plan → AI reviews it → you could get up to $300 to make it happen. Curious to see the ideas people come up with for : app.karpo.ai/activity?aid=p… #karpopaymybill x.com/Karpo_AI/statu…

@thetripathi58 Backend has always been the real bottleneck for AI-generated apps

Backend setup is the part every AI-generated app still struggles with. Drop a ⭐ if you like it. github.com/InsForge/InsFo…

@thetripathi58 The biggest win would be preserving the original creative spark while building

Ok i genuinely got excited reading this. I've had so many ideas i couldn't build fast enough and so many builds that lost the original idea along the way. This feels like the first tool that actually gets that problem. Really rooting for this one.

@thetripathi58 Curious how it handles database schema and migrations

AI coding agents are great at building frontends, but they usually fail the moment you ask for a database or auth. You end up with a "cool demo" that doesn't actually work. I just tried InsForge 2.0, and it’s the first time I've seen an AI agent ship a fullstack app in seconds. Here is why it’s a game-changer:

This is the one prompt that stops AI from gaslighting you. Force AI to tell the truth. No sugarcoating. No hallucinations. No fake confidence. Brutally honest answers. Every time. I packaged my reality filter prompt into a plug-and-play guide To get it, just: → Comment “REALITY” → Follow @TheAIHub111 (so I can DM)

This is the part people underestimate about AI agents. The hard problem isn't the LLM, it's everything around it: • Browser detection • Memory that actually compounds • Cost routing between models • Reliable infra (backups, updates, security) If those layers aren't solved, agents break the moment they touch the real web.

@thetripathi58 Reliable agent execution is the difference between a prototype and a production system

@Logical_Girll Persistent memory changes the game for agents that need context across sessions

Ampere.sh takes the headache out of self-hosting autonomous agents. From stealth browsing to persistent memory, everything just works reliably at scale.

@thetripathi58 AI portrait quality is evolving really fast

This is Scary... I’m so tired of "plastic" AI faces. I decided to stress-test a new tool called Vellum on OpenArt to see if it could actually make AI look human. The results are honestly kind of crazy:

@DAIEvolutionHub The biggest productivity jump for me came from using Claude for planning, not just coding.

Most brands don’t lose ad budget on targeting They lose it on creatives that fail to connect That’s why @Omneky caught my attention It doesn’t just generate ads It studies what visuals, formats, and messages people respond to — then keeps improving creatives automatically What stood out to me • Creatives evolve continuously, not just every few months • Data shapes the creative direction • AI works alongside marketers, not instead of them It feels like having a creative engine that learns and improves at scale The future of marketing isn’t spending more It’s building smarter creative systems Explore: omneky.com

@Logical_Girll @omneky Creative fatigue is real. The faster you refresh creatives, the longer campaigns stay profitable.

Most ads don’t fail because of budget. They fail because the creative gets stale. Winning teams iterate faster. That’s where @Omneky comes in. It analyzes live ad performance and continuously evolves the creative: • new copy angles • improved visuals • smarter layouts • faster testing cycles Instead of guessing what works, the system learns and adapts in real time. 👉 omneky.com The future of marketing isn’t bigger budgets. It’s adaptive creative that keeps getting better.

@MustkimQ9633 @omneky Amazing brand

Great targeting can’t fix bad creatives. @omneky analyzes what visuals and messages people respond to and improves ads automatically. The future of marketing isn’t spending more. It’s building smarter creative systems. Explore Omenky.com

@rborsato Sure you get but wait

@TheAIHub111 BANANA

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following @TheAIHub111 so I can DM)