https://youtu.be/5Exf5Vd6Mhk

We often see launch posts, milestones, and success stories.
What we don t see as much are honest breakdowns of products that quietly stalled or failed.

I feel there s a lot of learning hidden there about timing, assumptions, and trade-offs.

Hey GanttTool fans!

If you love GanttTool for macro planning, check out SimpleStickers at simplestickers.app the perfect companion for daily task management.

Why it complements GanttTool perfectly:

• GanttTool = strategic project planning

• SimpleStickers = lightning-fast daily execution

AI dev tools are moving stupid fast. Every few weeks, there s a new must-use. Some stick. Most don t.

Some vibe coders are developing full products with @ChatGPT by OpenAI+ @Replit. Others swear by @Cursor + @Claude by Anthropic . A few are mixing @Lovable , @v0 by Vercel , and @bolt.new . New and shipping way faster than expected.

I ve been refining my own vibe stack lately.
Building with @Google Antigravity at the core. It keeps the flow clean when things get messy.

Share your current Vibe Stack:

2025 wasn't just another year. It was the year LLMs grew eyes, ears, and hands.
We went from models that could write a decent email to multi-modal systems that can reason, edit images, see videos, and - most importantly - execute actions.
For us at MindPal, this was the moment we had been waiting for since Day 1.
2 years ago, we started with a vision: that someday, AI would process multi-modal inputs, manage complex context, and use tools just like a human. Back then, the tech wasn't ready. We spent 2024 helping you with "prompt chaining" - squeezing out a slightly better blog post or summarizing a document. It was useful, but it was just assisting.
That era is over.
In 2025, we stopped just chaining prompts and started orchestrating intelligence. We turned MindPal into the multi-agent engine we always envisioned:
- Advanced Patterns: We moved beyond linear chains to Orchestrators, Loops, Evaluators, and Routing.
- MCP Support: Agents can finally talk to your tools - Google Drive, Notion, Dropbox - natively.
- Canvas: Agents aren't stuck in the chat anymore. They are building custom websites, slides, and sales collateral in real-time.
- Chat-to-Build: You don't have to figure out the logic alone. You can now chat back and forth with the AI at the very start to architect, refine, and improve your agents before they ever run.
- Deep Integration: With Custom User IDs and Session Context, your embedded agents aren't isolated. You can sync your own users' data from your system directly into MindPal embeds.
Was every bet a winner? No.
We tried to force computer use and browser use capabilities too early. We realized it wasn't robust enough for the way you work, so we cut the noise and refocused on reliability.
But the things that did work? The results were insane.
We are seeing users automate their entire sales intelligence stacks - from qualification to generating custom proposals. We are seeing agencies automate client deliverables, where their whole operation depends on MindPal to run. We are seeing industry-specific audits that require deep, advanced knowledge and reasoning being executed autonomously.
MindPal doesn't exist to help you save costs. We exist to help you scale your business to a level that wasn't thinkable before, by scaling intelligence.
In 2026, we are taking a fresh take on AI automation.
Too many solutions right now are just "Software 2.0." They are obsessed with connecting App A to App B, with an AI sprinkled in between. It's rigid.
We believe the future belongs to Agency.
We are moving beyond just automating rules one after another. We are building the platform that leverages an agent's ability to think, reason, and wield tools with flexibility. We want you to scale work that was previously impossible, at a scale that was previously unimaginable, not just replicate what you were already doing.
Our goal is to be the number one AI agent orchestration layer for business.
2026 is going to be incredible. LFG

Guys, Merry Christmas and Happy New Year! I'd like to wish each of us to learn how to find problems that:

1. Haven't been solved by anyone yet.

2. People are truly willing to pay to have solved.

I've been vibe coding( @Lovable , @v0 by Vercel ) for a couple of months now & it's such an incredible feeling. What once required specialized skills now happens through simple descriptions.

Breaking free from dependency on designers & engineers for mocks/prototypes has been especially empowering. Great to see this creative autonomy that has fundamentally changed how people build.

What an incredible future we are creating for kids who can create software from sentences.

Hi Everyone!

I m a student and developer, and I noticed that I spend 20% of my time writing reports and 80% of my time fighting with margins, font sizes, and alignment.

To fix this, I m building a web app called DraftFlow. I d love your feedback on the core workflow:

1. Raw Input: You just dump your raw, messy text into the app.

2. Auto-Canvas: The app switches to a "Canvas Mode" and automatically applies the correct styles (headings, paragraphs, title) based on the document type (e.g., Report vs. Article).

3. Split Screen AI: On one side, you have your styled doc. On the other, a Multi-Agent Chatbot that helps with grammar, tone, and suggestions without messing up your layout.

4. Done: One-click download to a perfectly formatted PDF.

I need your help with two questions:

1. Trust vs. Control: Is "auto-formatting" something you would trust for a final document, or do you prefer manual control over every pixel? I'm trying to decide how much editing power to give the user vs. keeping it fully automated.

2. The Idea: Please be honest is this tool actually needed? Is the pain of formatting documents big enough that you would switch to a tool like this?

   Thank you for reading

We are refactoring the UI in these days, optimizing interaction experience, implementing responsive layouts, and adding more animations.

Note: Please disregard the version number (1.0.0) in the title bar; it is merely a placeholder during development .

Building a new tool called Doccier, designed for solo developers and small teams who want to focus heavily on building their product rather than creating all the material around it.
Here's what it does:
Doccier connects to your codebase, analyzes it, and forms an understanding of your product. It creates the documentation and visual guidelines. Then, whenever you make a commit, Doccier automatically generates:
- a clean summary of what changed
- short release / update posts
- polished visuals or simple graphics for sharing
- ready-to-post announcements for socials
- internal documentation updates
- organized changelogs
Instead of doing everything manually or jumping between different AI tools to explain your product again and again, Doccier produces these directly from your code.
If this is something you'd find helpful, early access is open:
doccier.com

Since we started Jots, we have been accumulating quite a few prompts, and we thought it would be a good idea to share our list for anyone to benefit from them, even if they are not using our app!

Good prompts make reflection easier, deeper, and more consistent, so we hope these prompts will help you in your professional development!

Just shipped New feature in Gitmore reports helps you better understand your team's work patterns.

Activity Distribution charts now show:

Peak productivity hours

Hi Product Hunt community

We are excited to launch Meeting Tags inside Krisp Meeting Assistant.

Hey Product Hunt friends,

First, thank you again for all your support during our launch last week. Your feedback has already made a real impact, and we appreciate it very much!

We just launched Calk AI 1.0, a new way to build AI agents that actually do work (no workflows, no configs).

Built between France and Canada over the past 8 months.

If you re exploring AI agents and want something simpler than the usual workflow tools, come say hi.

Happy to answer questions all day!