One memory across 30+ agents

Switching between different AI models should not force you to endlessly repeat your information again and again.

We decided 2025 would be the last year that people spend 5+ hours/week in endless context repetition loops. Hence emerged AI Context Flow, #1 product of the day with ~2000 users now!

But 2026 is going to be even better. Today, I'm excited to announce our biggest update yet: Pluto (can you guess the wordplay here? )

Every project on Bult.ai gets a ready to use public URL that works instantly, for example
https://blog.fin1.bult.app

You can also attach your own custom domain directly in the platform and expose services with branded URLs like blog.com.

Gitmore lets you ask questions about your GitHub, GitLab, and Bitbucket repos in plain English. Instead of filtering PRs, scanning commit logs, or interrupting engineers: "What shipped last week?" "Who's been working on the API?" "Which PRs have been open longest?" "Summarize this month's releases" Plain English in, plain English out.

How it works:

Connect your repos via OAuth. We register webhooks. Every event gets normalized into a structured schema commit message, PR description, author, timestamp, files changed. The AI queries structured data, not raw text. PR descriptions and titles carry context that individual commits often miss.

Key features:

Marketing reports in 2026 don t have to be a chore. With ZapDigits, you can build marketing reports faster, use our drag & drop editor to arrange charts and metrics exactly how you want, and get co-pilot support to make reporting smarter. Share client-ready reports with a single link, spend less time on repetetive tasks, and enjoy our new catagorized sidebar and improved dashboards that make tracking and presenting data easier than ever.

With our latest ZapDigits update, you can:

• Build marketing reports faster

• Use Drag & Drop Editor

• Use AI Co-pilot support

• Share client-ready reports with a single link

• Spend less time on repetetive reporting tasks

• New catagorized sidebar

• Improved dashboards

When building AI agents with long-term memory, debugging is a challenge.

You know something was remembered but:
When was it created?
What replaced it?
Why is it being recalled now?

Why was it created as a memory in the first place?

One thing we wanted to be very clear about with Supaguard.pro:

We don t ask for service tokens, API keys, or credentials. Ever.

Supaguard only looks at what s already public on the internet.

Hey everyone

Thank you again for the support on Alpie Core, and the feedback from this community meant a lot to us.

Since then, we have finally released Alpie, our most advanced product yet. A full AI workspace where you can now see Alpie Core working in real workflows, and not just isolated prompts. You can use the model with files and PDFs, run research, collaborate with others in shared chats, and keep long-running context organised.

If you were curious how Alpie Core performs beyond single queries, this is where you can try it hands-on.

Product Hunt is obsessed with "Fast" today. How fast can it generate a website? How fast can it write a SQL query?

But ask any founder or senior engineer: What is the most expensive thing in software? It isn't writing code. It's fixing code.

We realized the industry is optimizing for the wrong metric. Current AI tools (Chatbots) are like hyper-active interns. They type at 1,000 words per minute, but they make mistakes that take days to debug. They prioritize Output over Outcome.

We built Dropstone to be the "Adult in the Room."

This release doesn t add content - it sharpens the chaos.

What s new in v1.1:

• Improved pixel font + larger text for better readability

• Visible mute toggle on home & header (DMCA-safe for streamers)

• New Progressive mode: starts at 20 buttons, adds 15 each round

• Clearer win screen with sarcastic stat microcopy + bigger NEXT ROUND

• Share your shame helper text for easier bragging/suffering

• Short descriptions for modes & difficulty (no instructions, just vibes)

• Explicit disclaimer: this game is intentionally chaotic and unfair

• Per-round variation (movement, timing, micro layouts) without new mechanics

• Faster feedback (75ms transitions) no animations blocking clicks

• Better dark-mode visibility for button numbers

If you played earlier and felt confused in the bad way, v1.1 should feel confusing in the right way.

Hey Product Hunt Community!

Bult.ai lets you deploy production-ready databases with automated backups and monitoring directly from the Canvas UI using built-in templates or custom images.

Supported out of the box:
PostgreSQL
MySQL
Redis for caching and queues
MongoDB
500+ additional databases available from Docker Hub

Example: Deploy PostgreSQL
Select the PostgreSQL template
Choose compute size and volume
Click Create and get a ready-to-use connection string

No manual server setup. No DevOps overhead.
Databases ready in minutes.

I'm not actually a user of these glasses, but I'm always interested in what's new, and I have to say that Meta is really putting a lot into this project.

For 2026, it comes with the following:

Glasses are not full AR, but Meta's first with a heads-up display

Proximity Lock System ranked #4 Product of the Day on Nov 15, really grateful for the support and feedback.

Building this CLI reinforced how much people still value simple, reliable tools that quietly do one thing well.

This was the second launch of Proximity Lock, and I m continuing to iterate based on real usage feedback.

Big one this week: Shareable Travel Stats (from timeline)
Want a "countries I've been to" map?

Hey Product Hunt makers

We re excited to share that FlexClip Magic Edit is officially scheduled to launch on January 8th, 2026

We built a feature to solve a problem most AI apps eventually run into:

The longer the conversation, the more you keep paying to resend the entire chat history over and over.

Blog here (https://www.mnexium.com/blogs/ch...)

Docs here (https://www.mnexium.com/docs#sum...)

Hey Builders

We have just released the official Python SDK and CLI for Alpie Core, our 32B reasoning model trained and served entirely at native 4-bit precision.

The goal was simple: make it genuinely easy to build, test, and ship with a reasoning model in real-world systems, not just demos.

What s included in the first release:

Kicking off 2026 with something new
Meet the Public Prompt Library

Quick story:

Today I was helping my little brother build a website.
He s only 12, and already an incredible chef, selling homemade food .

Merry Christmas or, if you re a founder, happy I ll just check one thing day.

I genuinely wish I wasn t writing this today.
I planned to be offline. I failed.

In the same year I left Google s Mountain View HQ where I was working on subscription experiences used by billions to pursue Murror, two engineers also left Google to build Character AI.
Their early prototype raised safety concerns, but the idea evolved into a platform where people could create virtual characters such as AI companions, assistants, or friends.
We started from similar places, but chose very different paths.
Character AI focused on moving fast to meet market demand and scale quickly, then kids committed suicide using the product.
Murror chose to move slowly prioritizing research, ethics, and user safety. We intentionally designed our AI around a butterfly symbol, as a reminder that it is a tool for reflection, not a replacement for real human relationships. This approach takes more time, and it doesn t always show immediate financial results.
Over time, the contrast between speed and responsibility has become clearer.
At Murror, money is not the starting point. It is a result that comes after doing the work carefully and responsibly.
This is a long journey.
If you are someone an investor, partner, or builder who values patience, resilience, and long-term impact, I believe this path matters. As the world becomes more complex and emotionally fragile, the need for thoughtful, ethical technology will only grow.
This is just the beginning.

Hey everyone!

I published a new tutorial on building a custom agent using Giselle no code required.

What it covers

• Setting up a GitHub trigger that fires when a PR is opened

• Using Agentic RAG to query your existing codebase for context

• Generating reviews that understand your code conventions

• Automatically posting review comments back to the PR

Same expectations.
Same cleanliness.
Same level of readiness.

When that baseline shifts between PRs,
reviewers subconsciously lower the bar.

I was reading Reddit s announcement about their new verified profiles with grey checkmarks for public figures and businesses. It s opt-in, mainly for AMAs or official updates and Reddit says it s about clarity, not status.

Some people see it as a helpful trust signal, while others worry it could quietly become a status symbol.

We support most popular languages and frameworks on Bult.ai with either 1-click templates or custom configs.

Node.js, Python, Go, Java, Rust, PHP, Ruby, modern JS frameworks, and more.

Hi community!

We have released our custom Reflection Engine! This engine is designed to output reflection scores and detailed insights to help improve your critical thinking skills.