90k+ on LinkedIn | The friendly AI evangelist on a mission:🤖 Sharing the coolest AI tools⚡️ | 📩 DM for collab: [email protected]
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Joined November 2022
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A man spends 50 years teaching at MIT.
He knows his time is running out.
So he records one last lecture — everything he knows, distilled into a single hour.
He died 5 months later.
This is that lecture.
The most important hour you'll watch this week.
Bookmark it for later!
Most GTM enrichment waterfalls depend on public LinkedIn data.
Which means they miss up to 40% of your ICP. Especially SMBs — the companies that barely use LinkedIn at all.
If you've ever built a list and watched the waterfall return nothing for a third of your rows, you know the feeling. You either accept the gap or go find those contacts manually.
QuickEnrich closes that gap.
And it launches today.
Instead of reselling the same core database as everyone else, QuickEnrich crawls the rest of the web — company websites, Google Maps, Common Crawl, public social profiles — and uses LLMs to find and reverify who's who at each company.
Here's what that actually gets you:
→ 40% more coverage
Same search, same companies, compared against two well-known providers. More contacts found, verified with Bounceban.
→ Unlimited exports and API calls
No credit gauge running in the background. 6,000 requests per minute on the top plan.
→ Verified, dial-ready, dated
When a contact includes an email or mobile number, it's verified — never a guess. Mobile dials included, so a full-funnel cadence doesn't cost extra per touch.
→ Built for three teams
GTM engineers who don't want their roadmap rate-limited. Agencies who need to resell without a meter running. SDR teams who are tired of rationing their list to the top 20%.
→ One API
Claude Code, Codex, Clay, n8n, or your own stack.
Pricing is flat, not metered. $24/mo for light enrichment, $83/mo for unlimited web app plus a metered API, $333/mo for the app plus unlimited API with a resell license.
25,000 free credits and 25% off any plan with code PHQUICKENRICH.
→ quickenrich.io
🚀 QuickEnrich is also on Product Hunt today: producthunt.com/products/qui…
Build the full account list. Not the part you can afford.
Anthropic just showed a 27-minute workshop on how to actually write prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch the session!
I've shipped code I couldn't explain.
Not once. Several times. I'd prompt, paste, watch it work, and move on — and somewhere in the back of my head a small voice said you don't actually know what this does.
I ignored it. Until something broke in production.
That gap — between having code and understanding it — is what LoWisa was built for.
AI can give you an answer in seconds. LoWisa makes sure you can explain it and use it.
Here's what that actually looks like:
→ Paste a GitHub repo
Your tutor reads your real code and talks you through it in seconds. No install, no signup.
→ It opens the file and shows you the problem
Real example from their demo: every request in the code was building a brand-new database connection. The tutor highlighted the two lines, ran the terminal with you to prove the pooling issue, then made you break it in a sandbox so the fix stuck.
→ It runs the terminal with you
Claims get checked with real commands. Evidence, not vibes.
→ It checks you actually understood
Not "here's the answer." More like "now prove it."
→ It works from a sandbox copy
Your real project stays untouched while you experiment.
The framing that hit me hardest is their interview comparison. Same question, two developers. One says "I'd ask AI to optimize it and paste what it gives back." The other says
"I'd pull the execution plan, check the indexing strategy, isolate the N+1 issue."
Both used AI to build. Only one can stand behind the code.
That's the whole thing. Assistants generate more code. A tutor closes the gap between having code and owning it.
Built for beginners, career changers, founders moving fast with AI, and anyone who's inherited a codebase they didn't write.
The same tutor runs on your phone and as a desktop IDE — one account, both platforms.
→ Web: lowisa.dev
→ Android: play.google.com/store/apps/d…
→ iOS: apps.apple.com/us/app/lowisa…
Free to start with 20 credits. Plans from $8/mo.
Your future thanks you.
Most GTM enrichment waterfalls depend on public LinkedIn data.
Which means they miss up to 40% of your ICP. Especially SMBs — the companies that barely use LinkedIn at all.
If you've ever built a list and watched the waterfall return nothing for a third of your rows, you know the feeling. You either accept the gap or go find those contacts manually.
QuickEnrich closes that gap.
And it launches today.
Instead of reselling the same core database as everyone else, QuickEnrich crawls the rest of the web — company websites, Google Maps, Common Crawl, public social profiles — and uses LLMs to find and reverify who's who at each company.
Here's what that actually gets you:
→ 40% more coverage
Same search, same companies, compared against two well-known providers. More contacts found, verified with Bounceban.
→ Unlimited exports and API calls
No credit gauge running in the background. 6,000 requests per minute on the top plan.
→ Verified, dial-ready, dated
When a contact includes an email or mobile number, it's verified — never a guess. Mobile dials included, so a full-funnel cadence doesn't cost extra per touch.
→ Built for three teams
GTM engineers who don't want their roadmap rate-limited. Agencies who need to resell without a meter running. SDR teams who are tired of rationing their list to the top 20%.
→ One API
Claude Code, Codex, Clay, n8n, or your own stack.
Pricing is flat, not metered. $24/mo for light enrichment, $83/mo for unlimited web app plus a metered API, $333/mo for the app plus unlimited API with a resell license.
25,000 free credits and 25% off any plan with code PHQUICKENRICH.
→ quickenrich.io
🚀 QuickEnrich is also on Product Hunt today: producthunt.com/products/qui…
Build the full account list. Not the part you can afford.
🤝 Paid partnership
I've shipped code I couldn't explain.
Not once. Several times. I'd prompt, paste, watch it work, and move on — and somewhere in the back of my head a small voice said you don't actually know what this does.
I ignored it. Until something broke in production.
That gap — between having code and understanding it — is what LoWisa was built for.
AI can give you an answer in seconds. LoWisa makes sure you can explain it and use it.
Here's what that actually looks like:
→ Paste a GitHub repo
Your tutor reads your real code and talks you through it in seconds. No install, no signup.
→ It opens the file and shows you the problem
Real example from their demo: every request in the code was building a brand-new database connection. The tutor highlighted the two lines, ran the terminal with you to prove the pooling issue, then made you break it in a sandbox so the fix stuck.
→ It runs the terminal with you
Claims get checked with real commands. Evidence, not vibes.
→ It checks you actually understood
Not "here's the answer." More like "now prove it."
→ It works from a sandbox copy
Your real project stays untouched while you experiment.
The framing that hit me hardest is their interview comparison. Same question, two developers. One says "I'd ask AI to optimize it and paste what it gives back." The other says
"I'd pull the execution plan, check the indexing strategy, isolate the N+1 issue."
Both used AI to build. Only one can stand behind the code.
That's the whole thing. Assistants generate more code. A tutor closes the gap between having code and owning it.
Built for beginners, career changers, founders moving fast with AI, and anyone who's inherited a codebase they didn't write.
The same tutor runs on your phone and as a desktop IDE — one account, both platforms.
→ Web: lowisa.dev
→ Android: play.google.com/store/apps/d…
→ iOS: apps.apple.com/us/app/lowisa…
Free to start with 20 credits. Plans from $8/mo.
Your future thanks you.
🤝 Paid partnership
Anuj retweeted
For 30 years, technology has moved in one direction: turning information into intuitive interfaces
Somehow, the smartest software we’ve ever built took us back to a textbox
We’ve spent the last 2 years at @openuidev trying to fix that. 6 months ago we open-sourced it: 10K+ GitHub stars, 6M+ downloads
ChatGPT shipped Intelligent UI and showed everyone what it looks like
Today we’re releasing OpenUI 1.0 bringing it to every other agent
Anthropic just showed a 27-minute workshop on how to actually write prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch the session!
If your B2B buyers order by phone, by PDF, or from a price spreadsheet someone updates by hand, you already know the problem.
Your buyers know it too. They have just stopped complaining.
@vendure_io's paid plans are live today, and for the first time you can buy Vendure without a sales call.
Starter is €199 a month, Growth €599 and Scale €2,499. You pay by card, and the price is flat, with no fee on order value, orders or users.
Here is one B2B order, step by step:
→ Company accounts (Starter)
Bob signs in as a buyer for Acme Industrial Supply. His company, role, payment terms and order limit come with his login. He is not a generic customer record with a note in a custom field.
→ Contract pricing (Scale)
Every product shows the price Acme negotiated, with its volume breaks, instead of the list price. Price lists apply per company or per customer group, and each customer can get its own catalogue.
→ Quick order (Starter)
Bob pastes SKUs and quantities from his spreadsheet, and the cart fills at his contract prices. Nobody retypes 40 line items.
→ Approvals (Scale)
The order is over Bob's €1,000 limit, so it goes to Amy before it is placed. Once she approves, it goes through on invoice terms with the approval history attached.
That's a normal B2B order. Most platforms make you build half of it yourself.
Three things worth knowing:
They ship as capabilities, not workarounds. Company accounts, quotes, and approvals are built in — not bolted onto a platform designed for consumer carts.
When your process doesn't fit, you extend it in TypeScript. A PO number on every order or an approval rule per cost centre lives in your own code, not a fork.
Self-host it or run it on Vendure Cloud — same application either way. Vendure Cloud comes with every paid plan at no extra cost when it ships in Q1 2027.
Vendure Core stays free under GPLv3. TypeScript end to end, GraphQL API, public on GitHub. Point Claude Code or Cursor at the repo and the docs MCP server and they read the real thing.
14-day trial. Set up your catalogue, company accounts, and contract prices, then place an order the way your buyers would.
→vendure.io/?utm_source=linke…
🚀 @vendure_io is also on Product Hunt today: producthunt.com/products/ven…
Replace the commerce layer, not the systems around it.
If your B2B buyers order by phone, by PDF, or from a price spreadsheet someone updates by hand, you already know the problem.
Your buyers know it too. They have just stopped complaining.
@vendure_io's paid plans are live today, and for the first time you can buy Vendure without a sales call.
Starter is €199 a month, Growth €599 and Scale €2,499. You pay by card, and the price is flat, with no fee on order value, orders or users.
Here is one B2B order, step by step:
→ Company accounts (Starter)
Bob signs in as a buyer for Acme Industrial Supply. His company, role, payment terms and order limit come with his login. He is not a generic customer record with a note in a custom field.
→ Contract pricing (Scale)
Every product shows the price Acme negotiated, with its volume breaks, instead of the list price. Price lists apply per company or per customer group, and each customer can get its own catalogue.
→ Quick order (Starter)
Bob pastes SKUs and quantities from his spreadsheet, and the cart fills at his contract prices. Nobody retypes 40 line items.
→ Approvals (Scale)
The order is over Bob's €1,000 limit, so it goes to Amy before it is placed. Once she approves, it goes through on invoice terms with the approval history attached.
That's a normal B2B order. Most platforms make you build half of it yourself.
Three things worth knowing:
They ship as capabilities, not workarounds. Company accounts, quotes, and approvals are built in — not bolted onto a platform designed for consumer carts.
When your process doesn't fit, you extend it in TypeScript. A PO number on every order or an approval rule per cost centre lives in your own code, not a fork.
Self-host it or run it on Vendure Cloud — same application either way. Vendure Cloud comes with every paid plan at no extra cost when it ships in Q1 2027.
Vendure Core stays free under GPLv3. TypeScript end to end, GraphQL API, public on GitHub. Point Claude Code or Cursor at the repo and the docs MCP server and they read the real thing.
14-day trial. Set up your catalogue, company accounts, and contract prices, then place an order the way your buyers would.
→vendure.io/?utm_source=linke…
🚀 @vendure_io is also on Product Hunt today: producthunt.com/products/ven…
Replace the commerce layer, not the systems around it.
🤝 Paid partnership
Anthropic just showed a 27-minute workshop on how to actually write prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch the session!
Your next sales hire might cost $149 a month.
One salesperson: $4,000 a month before bonuses.
One AI salesperson on @WithAmplify: $149.
Paste your website → it learns what you sell and who buys it. You build your own AI influencer, it makes TikToks in your brand's voice, and it posts every single day on US TikTok.
Put 10 to work and you still pay less than half of one salary.
Your next sales hire might cost $149 a month.
One salesperson: $4,000 a month before bonuses.
One AI salesperson on @WithAmplify: $149.
Paste your website → it learns what you sell and who buys it. You build your own AI influencer, it makes TikToks in your brand's voice, and it posts every single day on US TikTok.
Put 10 to work and you still pay less than half of one salary.
🤝 Paid partnership
Most AI app builders stop at a pretty frontend and call it shipped.
@Myndlab_ai builds the whole thing — frontend, backend, database — and the code is actually yours. Export it, run it anywhere.
Not locked to one stack either. Pick your own backend if you want.
🤝 Paid partnership
Let's go @akachandan1 and team 🚀🚀
🤝 Paid partnership
10 years in growth taught me to trust the "how did you hear about us?" field.
Then it started saying "ChatGPT."
So @amitkumar0331 and I built @proofsourceHQ : see if AI recommends your brand, and fix it.
Live on Product Hunt 🚀
producthunt.com/products/pro…
I've been handing my files to AI tools that train on them.
That's the trade I've been making without really thinking about it. Upload a document, get help with it, and somewhere in a terms of service, my content becomes training data.
Rool is the first one I've seen that says no to that.
Rool launches today.
It's a full machine in the cloud — hosted in the EU — where your files, your ideas, and your AI live together in one private workspace.
Here's what that actually looks like:
→ A real machine, not just a chat window
Behind every conversation is a full machine. It holds your files, runs software, and keeps the work and memory between tasks. Start with a chat, then build from there.
→ Your files, software, and memory in one place
Write a document. Work with your files. Run software. Your machine keeps the results and the context, ready for the next task.
→ Models self-hosted in the EU
Rool runs the AI models on infrastructure they manage in the EU — so your workspace and the AI infrastructure sit closer together.
→ Your tools, connected
Built-in connectors and custom MCP servers. Bring the services you already use into your Rool workspace.
→ The privacy stance is the actual product
No ads. No data sales. Your files and conversations are never used to train AI models. Your data is stored in Finland, under EU law. Your machine is private to you and the people you invite.
→ Free forever, not a trial
240 AI credits per day. 2 machines. 1 GB storage each. No card, no trial clock. Balance refills hourly.
Plus is €9/mo, Pro is €25/mo if you need more room.
One thing I noticed on their site: no cookies, no consent banner. For a company selling privacy, that's a small detail that tells you they mean it.
→ rool.ai
🚀 Rool is live on Product Hunt: producthunt.com/products/roo…
We've spent two years asking what AI can do. Less time asking who it's doing it for.
🤝 Paid partnership
