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In the last two weeks, India got two very different security wake-up calls.

First, SBI confirmed that customer records showed up on the dark web. The bank says core systems and funds are safe, and that may well be true. But the people in that data still have their names, numbers and loan details floating around somewhere they never agreed to.

Then PHP had two critical flaws that let attackers run code on a server without even logging in. Fixes went out fast, and cert-in put out an advisory, but a huge part of the web runs on PHP and not everyone patches the day a fix drops.

Building a team or want to join a startup?

Founders, teams, and startups drop a comment if you're hiring.

I'm curious how people use Enclave day to day:

• Music and Now Playing

• Calendar and meetings

• Clipboard and file shelf

• Watching AI agents (Claude Code, Codex)

• Something else?

Tell me what you'd like to see next, and any bugs or rough edges you've hit. I read everything and reply to every comment.

New in 0.3.27: a Library. Hira asked here if she could read her sub-agents' work the next morning, after the session was gone. Now every report a sub-agent hands back is kept until you delete the project folder. Click the books at the top of the panel, pick a project, then a book. A book is one Claude Code session and opens as a PDF, one chapter per report. I wanted it to read like a book, not a pile of .md files, so each chapter starts with a few plain lines anyone can read, even if you don't code.

A lot of you followed Pitch Avatar after our Chat-avatar launch. Since then, we ve noticed something: more and more of our users are HR and L&D teams using avatars to onboard new hires and run training.

So we re building a version of Pitch Avatar made specifically for them: courses instead of single videos, per-employee progress, and a knowledge base the avatar uses to answer employees questions.

Before we ship it, we d love your input:
What s the most frustrating part of onboarding or training in your company?
What would an AI avatar need to do for you to trust it with that?

Every answer goes straight to the product team. And if you d like early access, let us know below

Thank you to everyone who upvoted, tried Enclave, and sent feedback on launch day. 75 upvotes and 46 followers is more than I hoped for.

Here's where things stand:

• Now: Enclave turns your MacBook's notch into a live dashboard (music, calendar, to-dos, file shelf, clipboard, downloads), plus agent status for Claude Code, Codex and more. The latest release is 1.0.5, which adds Remove from Dock.

• Next: I'm working on what you ask for most.

I'd like your input. What's the one thing you'd want Enclave's notch to do that it doesn't yet? Reply here and I'll read every one.

Cheaper near-frontier models make it tempting to send more context on every call. For anything personal, that is the wrong place to spend the savings.

OpenAI announced GPT-6.1 Sol at DevDay on 2 October. Its API page lists $2.00 per million input tokens, $0.10 for cached input and $10.00 for output, with a 1,050,000-token context window. Prompts over 272K input tokens are billed at double the input rate and 1.5x output for the whole request. OpenAI says the model gives near-Astra intelligence at a fifth of Astra's price. That comparison is OpenAI's own claim about its own product, and I haven't seen an independent benchmark of it, so treat it as marketing until someone you trust has run it on your workload.

The same event added computer use to the Agents API, so an agent can operate software through its interface, available through the API and in Codex and ChatGPT Work on Pro 500 and Enterprise plans.

Here is what I think a small team should take from it. When the per-token price drops, the first instinct is to spend the savings on more context: send the whole history, the whole document, the whole account. The model can take a million tokens, so why not use them.

Weekly reporting should be routine, but somehow it rarely feels that way.

If you had to name the biggest source of pain in just one word, what would it be?

Bonus points if you want to tell us why.

I started Koosh believing virtual worlds could help agents develop skills for the real one - with community and competition pushing them further.

Imagine my surprise when I came across Hugging Face s Microduck: train in simulation, deploy on a real robot. Different projects, a familiar mindset. Apparently, my train of thought had company. And a beak.

Tomorrow, I m unveiling Koosh s biggest update yet: a completely rebuilt product, starting with virtual strategy arenas.

Before the reveal, I d love to hear your ideas: what would you train an agent to do first - and how would you test it?

Over the last year we noticed something odd at PostNitro: a growing share of our users never open our editor anymore. They ask Claude, ChatGPT or an n8n flow to make the carousel for them, and the agent calls us in the background.

That got us building for agents properly. Your agent can now design an on-brand carousel, image post or short video and schedule it to LinkedIn, Instagram, TikTok, Threads, Facebook and Pinterest, all from one prompt.

Hey Product Hunt!

I've been shipping updates to Palomino, our Rust-built workspace for running agents in parallel. Here's what's new:

• Search across your entire workspace.

• Pop chats and terminals out into their own windows.

• Keep track of agents, commands and goals in the new activity panel.

• Faster diffs, redesigned tool calls and a refreshed approvals UI.

• Mark up and draw on images directly in Palomino.

• Vercel's FX harness, plus a new theme and syntax highlighting.

Try it at https://trypalomino.com

We launched Hotly here last week, and thank you to everyone who supported it. It's a paid inbox: people pay to send you a note, and you reply when it suits you.

Now I'd love your eyes on the page people see right before starting a trial: https://hotly.com/pricing?utm_so...

I guess most makers go into product building to build a successful company, or eventually exit it and live a life without time and space restrictions AKA, earning money while they sleep.

Many people start their own businesses alongside their 9-5 jobs.

As digital environments become increasingly cluttered, the need for a robust enterprise ad blocker has never been greater.

Whether you are managing a corporate network, or even a school district, deploying a secure ad filtering solution is no longer just about convenience it is a critical component of your cybersecurity strategy.

Today we can all brag about our agents =)

Almost every product has them, everyone works with them, gives them names, and creates the specialists they need to work better and faster.

In RunEvr, we currently have two types of agents: those who help with the system and overall coordination, and those who work as creative artists.

Let me introduce some of our lovely ones!

I logged the raw requests from one Claude Code session on a real repo to see where the input tokens actually go. I expected the files the agent read to dominate.

Input was about 123k tokens:

• ~74% tool definitions

• ~21% conversation, including a 40 KB file the agent read

• ~5% system prompt

A brand can appear frequently in AI-generated answers, but the context of those mentions matters.

For example, ChatGPT might recommend a company as the best fit for small businesses, mention it as an alternative for enterprise buyers, or cite its website while recommending another vendor.

I am delighted to let you know that the next official release of the Mantra Meditation Timer is now available for download from the Apple App Store. 

This release introduces the following updates.

Just sharing an article we wrote. Building heal we collected a lot of insights on how to make coding agents verify their work at different layers, and what setup was needed to get there.

We have a few articles coming up, here's the first one:

https://www.heal.dev/verificatio...

FinderGit 0.57.0: groups inside groups

The sidebar's groups used to be one level deep. Now a group can hold other groups, as deep as you like: Work Clients Acme, with your repos wherever you put them.

One theme came up again and again in today's comments: when should a chatbot stop and hand over to a person?

Some people let the bot handle everything and only collect an email when it's stuck. Others hand over the moment money, complaints or anything emotional comes up. Some route straight to Slack so a human can step in within seconds.

We're designing live takeover for N8N Chat UI now, so I'd love to hear how you handle it:

1. What should always go to a human?

2. Should the visitor be told when a person takes over?

3. Out of hours: bot only, or "leave a message"?

FinderGit 0.56.12 is a fixes release

Got a branch and a tag with the same name? FinderGit used to list the branch as heads/main, and Checkout left you on a detached HEAD. Now it shows main, Checkout keeps you on the branch, and merging, rebasing or branching from it uses the branch's commit, never the tag's.

Two of mine: "Never edit requirements.txt by hand, it's generated with hashes." Added after an unpinned dependency jumped to a new version on deploy and caused an incident in production. "Any API change updates the docs, the MCP tool descriptions and the slash commands in the same step." Added after an audit against production found the three had drifted apart. Curious what's in yours, and what happened before you wrote it.

With the recent launch of the AISA Score - The AI Fluency Assessment marking 9 months since our first launch, we now work with many enterprises and have over 3,300 individual assessments completed. One thing is very clear to me now.
AI fluency is really the new currency both to find and keep a job, but also to solo-build or optimise the personal life. We are passed the point of discussion AI IS GOOD / AI IS BAD. It just is a new technology.
Now it's up to individuals to use it in good taste, bad taste, with skill or bluntly. Bad AI judgement leads to AI slop, good judgement and skillful usage, with high fluency of the AI ecosystem leads to sci-fi like results.
This is especially becomming apparent in the enterprises we work with. There are whole teams where the score range is 14-92. Imagine that, in one meeting room there are two people who have each an AISA Score of 14 and 92 out of a 100, and they are trying to make decisions together.
The other clear theme that's emerging to me is that if 2026 was the year of AI training become "a thing", 2027 onwards will be a period marked by generic AI training not being enough and each team and function needing training tailored to their gap areas (this is what we are positioning to serve).
What are your thoughts?

Dani here We're about halfway through launch day and the questions have been great. A few keep coming up, so here are the answers in one place for anyone just arriving.

"If someone copies my Managed widget onto their site, does it use my credits?"
No. The widget checks which site it's on before it loads. If that site isn't on your allowed list, it doesn't appear at all, so there are no messages and no credits used.

"Does it keep the conversation if a visitor comes back?"
Yes. History is saved in the visitor's browser, so it survives reloads and return visits on the same device. If you'd rather start fresh each time, there's a setting for that.

"Can it know who the logged-in user is?"
Yes. Pass the user's details as metadata and your n8n workflow gets them with every message.