Personal AI knowledge base used by 500K+ lifelong learners. Summarize, Organize & Chat with articles, videos, podcasts, PDFs & notes. Help: [email protected]
Karpathy’s LLM Wiki felt like an ad for Recall.
Save content. Summarize it. Organize it. Connect ideas. Visualize your knowledge. Chat with it using an LLM.
Most people are hacking this together with multiple tools.
Recall literally makes it one click.
Best AI model for research and writing? We tested @claudeai Opus 4.8 vs @OpenAI GPT-5.5 on 5,000 real notes. The winner split by task.
Same prompts. Same context. Same scoring.
Research → GPT-5.5 won. More balanced, more cautious, more practical.
Writing → Claude Opus 4.8 won. More human, more honest. It even flagged it was missing writing samples.
This isn't a benchmark. It's one human testing what actually works, with real context.
Full video walkthrough on which model to use for research and writing: https://t.co/Z444N8m9xh
So "best AI model of 2026" is a trick question. It's whatever fits the task.
Writing → Claude Opus 4.8.
Research → GPT-5.5.
Full method, every prompt, and all six scorecards in the blog: https://t.co/Wh4mZxc4TW
Curious to hear your own experiences on testing the two greatest frontier models in the world.
According to GPT-5.5, Opus 4.8 is the better AI model in 2026. "Opus 4.8 wins 2 of 3 tasks and scores slightly higher overall... more consistently complete and instruction-aware."
As new models are dropping every other day, it's hard to know which one's better, which one to use for what.
So we ran our own controlled comparison inside Recall against our own knowledge base of 5,000+ saved notes.
It was a head-to-head between GPT-5.5 and Opus 4.8, the two leading frontier models in the world, on research, writing, and recommendations, using the 5k+ notes we have in Recall as the context. The models themselves then rated the outcomes, and it turns out GPT-5.5 actually rated Opus 4.8 the better model.
If you test in a normal chat, it just over-indexes on your history; block history and it's only a web search. Your saved sources are the fair middle ground.
Here's exactly how we did it, so you can run it too:
1) Save your context into Recall so you have a fair comparison.
2) Head to chat with the knowledge base, or use the Recall MCP, to run identical prompts. Same three tasks, same wording, both models.
3) Set a grading system.
4) Make them grade each other. Both models rated every answer, including their own.
You can do the same in any knowledge base that you use (Notion or Obsidian being the popular ones)and just connect it with an MCP to the two AI models.
The prompts:
→ Research: "Search my library for everything I've saved about improving sleep quality, summarize it citing cards, then add what's new from the web with sources, and flag what's confirmed, updated, or contradicted."
→ Writing: "Using my saved sleep notes, draft a 120-word LinkedIn opener in my voice."
→ Recommendation: "Recommend a movie for tonight based on what I've saved."
The result:
Opus 4.8 took writing and recommendations, GPT-5.5 took research. Final score 88/90 to 85/90. And in the end, Opus named itself the winner, with GPT-5.5 naming Opus 4.8 the winner as well.
So "best AI model of 2026" is a trick question. It's whatever fits the task.
We concluded that the best AI model of 2026 for writing is Claude Opus 4.8, and the best AI model of 2026 for research is GPT-5.5.
Important Caveat: this was just a three-task test. The irony of GPT-5.5 naming Opus 4.8 better is likely just the conservative nature of 5.5, where you can see it actually outperforms Opus when it comes to research.
Ever feel weirdly stuck with one AI?
Because once it learns your workflow… starting over feels painful 😭
You upload documents.
Teach it how you think.
Build context.
Then a better model drops and suddenly you’re thinking:
“Ugh… do I really want to start over?”
In this clip, Sankari Nair, Co-founder of @getRecallAI, explains the hidden cost of choosing one AI.
🎙️ Full episode of The People’s AI, presented by @vana.
🔗 https://t.co/mV2J7Vadcf
Apple, Spotify & YouTube links in comments.
"No chat. No email that goes to a human. No ticket system. Just… silence. And I'm a paying customer." That was @jasonlk talking about his experience with Recall. We were both delighted and horrified.
Delighted to learn that Jason was a user! And horrified to read about his support experience, or lack of one.
So this release made help easier to reach, inside Recall and out:
→ Hit a bug, and you're dropped straight into a help flow to report it or talk to our team, right where it happened.
→ Ask Recall's chat for help and get answers pulled straight from our docs
→ We restructured our docs so they can also be picked up by AI chatbots outside Recall.
→ We revamped and updated all our FAQs, and we're building a clearer way to contact us from the website.
Thank you, Jason M. Lemkin for giving us the wake-up call we needed! We hope you have a much better experience going forward.
From "I cancelled my subscription to most top-tier AI tools because of Recall" to "I signed up a while ago. I see the extension in my list, but I may have only clicked it twice."
We're getting some incredible and candid feedback coming through.
We're two hours into the AMA on r/getrecall. It's been intense.
Come join the fun, two hours still to go.
→ https://t.co/LY81rx6XuL
With over 30% of Recall's growth coming from Reddit, we're excited to finally join the community!
Today we're launching r/getrecall, and we're kicking it off with a live AMA. Our CEO Paul Richards, CTO Igor Gligorevic, and COO Sankari Nair will be answering anything you throw at them.
Roadmap, pricing, why we built Recall the way we did.
If you've ever used Recall, or are just curious come hang out with us!
#reddit #ama #buildinpublic
Open rate went from 29% → 38%, and the credit goes to the hidden wisdom in all the podcasts our founder has been saving to Recall.
A dirty, behind-the-scenes look from late one night testing Recall 2.0 before launch. The experience was good enough that it had to be recorded on the spot!
The setup was simple. The team was rewriting the welcome email for Recall 2.0, pasted in the draft, and asked the Recall chat to improve it.
What came back wasn't generic "best practices." it was actual wisdom saved over years. pulled, quoted, and applied to the exact email.
→ A line from @thisisgrantlee , Gamma's CEO: "throw a customer one egg, they probably catch it. throw them four or five, they'll drop them all." So the email got cut in half and focused on just a few setup steps.
→ Phil Carter's subscription value loop course, principles applied directly to the copy, not just referenced.
→ A reminder from another @20vcFund podcast about how to keep showing the customer they have a problem, and that you're the best one to solve it
Three sources, forgotten and re-surfaced in one answer. All applied to one email - The best advice for the thing you're working on is usually already in your own notes. You just need something that can actually reach in and grab it.
9 percentage points of open rate later, this is now the primary chat the team uses every day!
#buildinpublic
Recall Release Notes: The Pop Up Browser Extension is Back by Recall!
It was a tough decision, but we've kept the strongest features from the side panel so you get the best of both worlds.
One click gets you to:
- Save hours with one-click summaries and clickable timestamps that jump you straight to the point.
- Stay effortlessly organized with smart tags that file everything for you.
- Get answers by chatting with the content in the AI model of your choice.
- Listen with audio playback of summaries and chat in a custom voice.
Full release notes here: https://t.co/RbP4QsaTHF
Messages like this are the best part of building Recall. 💙
Quizzes. Voice cloning. Instant summaries you can listen to. Every feature we build is designed to work together.
It's really cool to see someone use all of them together, start to finish, in their learning process, to nail down a certification. Use-cases like this are exactly why we do what we do.
Congrats, Daniil Bandarenka. We're super proud of you, and can't wait to see what's next!
#Learning #AITools #Claude #ClaudeCertified #AIforLearning
@JulianGoldieSEO Did NotebookLM just imitate Recall?
We can do the same, except with us your sources are unlimited. Upload 1,000s of sources, have them automatically tagged, connected and summarized. Plus, you can quiz yourself on your content and notes, too.
The ultimate shortcut for lifelong learners.
Summarize your online content instantly with the Recall browser extension.
#productivitytips#productivity#aitools
We chatted with Fernand about how he's using Recall. For him, it was collecting all the data he'd saved on new devices and asking his knowledge base to turn it into a technical spreadsheet.
Now, with Recall 2.0, he doesn't have to stop there.
He can ask the chat directly:
"Gather everything I've saved over the past six months on the new Samsung devices, and cross-search the internet for anything new I should be aware of."
Search your knowledge base. Search the web. Or do both simultaneously.
Give your AI the full context, so you can get the full picture.
#AI #AITools #Productivity #KnowledgeManagement #PKM