PH热榜 | 2026-04-24

We've been prototyping this internally for a while, but this is our first public feature for searching and exploring Product Hunt's data with AI. It's informed not just by launch traction and discussions, but also by hundreds of thousands of reviews, including over a hundred thousand founder reviews, so you can find the best products for you. Try it out and let us know what you think!

This was one of the missing feature on PH. I believe you guys will make improvements soon on this, such as I see results bringing dead products (not operation). Also there can be more than 5 results.
Anyways, thanks to everyone behind this feature 👍

I'm so stoked to be part of this release! How many times have you tried Googling (or even asking ChatGPT) with a specific pain point only to fall short of the solution or end up comparing multiple products, eventually either giving up or choosing one out of frustration.

Ask Product Hunt is the first step to reducing a lot of that friction! Simply ask what you're looking for and BOOM - instant results that will help you achieve what your trying to do and.... you can instantly compare different products in the same chat.

Checkout the other demo vid on X!
https://x.com/ProductHunt/status/2047600502003933535?s=20

tbh this wouldve saved me a few evenings of manual digging before my own launch. hows freshness handled, does a 2022 product w/ strong traction outrank something shipped last month?

thats usually where category-scoping searches fall apart imo. bookmarking either way

Cool! Is there any aspiration to look for things beyond the products? E.g. in forums, mentions in your newsletters etc.?

Love the direction, especially around discovery and community. The challenge (as always) will be maintaining signal vs noise as more products launch. If you get that right, this remains one of the most powerful launch platforms out there.

yeah! I was playing there and it's super cool. The timing and data are amazingly accurate. You're always a step ahead. Really congrats!

Good catch on the dead products issue—that's definitely something worth refining as the model learns which listings are actually active. You're right that limiting to 5 results feels arbitrary; hopefully they expand that as people use it and provide feedback on what's most useful.

Awesome! Finally there's ask on PH!

Just gave it a go. Very neat -- I can stop using likes as unofficial bookmarks.

this will help a lot, small feedback i tried search for open source tools that are launched this week but it was not sure and show only couple of tools but PH has a open source tag why its not showing the relevant tools?

This is a great feature, but I have one question: the ai chat cant'f find my own product and claims it doesn't have a public page on Product Hunt, even though it does.

This is an amazing project! Thank you for creating it -I’ll be happy to use it and recommend it to my friends.

Give a me product to build me the perfect product.

Finally! This was long overdue. Excited for this launch. Will there be a voice chat version? I think integration with Whispr Flow or Eleven Labs for a conversational process would be a nice touch for product discovery.

@rajiv_ayyangar Tried it, really great, very useful. Any plan to bring this into private collections? I save many products there, so having this inside collections would be very useful.

Congrats on the launch @oleksandr_semeniuk @oleglysiak @yuliia_melianytska 🎉 Most teams jump straight to prompting and wonder why output is still messy. How long does setup typically take for a team already on Jira + Slack?

Analytics hub looks exactly like something I was looking for my team when we've lost $1000 in a single day for our agentic pipeline 🥲 . Exited to check it out, will update this comment after first results.

Interesting concept. If a company stops using Beezi AI, what happens to their stored data and history?

Hey Product Hunt! 👋
I am Yuliia, as CMO of Beezi AI, I want to share what's behind today's launch, because this isn't a product we dreamed up in a vacuum.

Before writing a single line of marketing packaging and copy, we ran dozens of customer interviews. Engineering leads, CTOs, dev team managers across different industries and company sizes.

What struck me most from those conversations? People weren't asking for more AI. They were asking for control, structure, predictability.

That's the north star we've been building toward not just another wrapper that makes AI feel fancy. We want to make a platform that makes AI-driven development something you can actually manage, measure, and trust at scale.

We're genuinely proud of what the team built. And genuinely curious what you think. 🙏

What's your biggest frustration with AI in your dev workflow right now?

If you'd like a demo or want to participate in our customer interviews — we'd love to connect! 🎯

Very cool - I'm super interested in products in this space, this looks like a good one - congrats on the launch!

So with Ollama I can bring my own model like: ZLM? or are there a set of models that you provide?

The insight that AI amplifies whatever you give it rather than creating clarity on its own is something more people building with AI need to hear. I have experienced this firsthand building DocMetrics alone — the AI coding tools are genuinely fast but if your own thinking about what you are building is unclear the AI just gets you to the wrong place faster. The ticket clarification piece before coding starts is the part I find most interesting because most teams treat requirements as a formality rather than the actual foundation of everything that follows. Curious how Beezi handles situations where the ticket looks clear on the surface but the underlying requirement is actually ambiguous — does it flag that or only catch structural issues? Congrats on launching.

The real-time AI cost tracking is something I didn't know I needed until I started using multiple models for the same project and had no idea what I was actually spending.

As a solo maker, does Beezi work for individual developers or is it built exclusively for teams?

Congrats on your launch, ticket structuring before coding is very important because tickets decide quality of code produced. I was wondering though, is manual override possible, for example in case I want to push a particular ticket?

smart ticket system sounds like it could solve a real problem. half our AI prompts end up being too vague and we waste cycles on back-and-forth. curious how you're structuring the prompts - are you using specific templates for different development tasks or is it more dynamic based on the ticket content?

the model routing optimizer caught my attention - we've been manually switching between Claude and GPT for different coding tasks and it's such a pain. does Beezi learn from your team's patterns to suggest the best model for each ticket type, or is it more rule-based routing?

Curious about the privacy side of this, are prompts or code stored anywhere, or does everything stay private within the customer environment?

Nice launch! Quick one on the Smart Ticket System, does it give live feedback while someone's writing a ticket (e.g. "this is too vague, clarify X"), or is it a structured template?

Great project! Exactly what industry needs but what I feel a lot of companies are not ready for yet. How does PM or PO integrates with this tool? To my understanding this tool tries to take a part of their responsibility, and the quality of this orchestration is yet unknown.

model routing + cost tracking is the part most teams skip until they get the bill. how granular is the routing — per-ticket type, per-user, or based on something like inferred task complexity?

Congrats on the launch! Might be helpful for us

Hi everyone!

The long-awaited DeepSeek V4 is finally here, and the message is simple: 1M context is becoming normal.

V4-Pro is the flagship model, with stronger agentic coding, world knowledge, and reasoning. V4-Flash is the fast, efficient version for more economical use. Both models support 1M context and are available through API today, with open weights already released.

DeepSeek’s real ambition here is to make frontier long-context intelligence more accessible, just like it has been doing all along🫡

P.S. Think about all the quota and money you’ve burned through just to unlock massive context windows in Codex or CC. Well, let’s look forward to a future where that no longer feels like a luxury. Thanks, DS!💙

open weights + 1M context is a serious shift — most "long context" models choke on retrieval at the tail. how does V4-Flash hold up on needle-in-a-haystack at 800k+? curious if Engram memory actually moves the needle there.

Codex + GPT-5.5 = Autonomous dev loop unlocked!

What it is: An upgraded Codex powered by GPT-5.5 that can build, test, and fix apps across browser, files, and your computer.

Problem → Solution: Manual dev loops (build → test → debug) are slow. Codex now automates this by interacting with apps like a real user, identifying issues, and fixing them.

What’s different:

• Not just code generation → full build + verify loop

• Uses vision + browser interaction to test flows

• Debugs via console & network logs in real-time

Key features:

• Browser automation: clicks, tests, screenshots, iteration

• File generation: better spreadsheets, slides, docs in Microsoft Office & Google Drive

• In-app file viewer for faster iteration

• Cross-app computer control (click, type, navigate)

Benefits:

• Faster dev cycles

• Higher-quality, tested outputs

• Less manual QA/debugging

Who it’s for & use cases: Devs, founders, and teams building apps → from frontend development to automated testing, debugging, and documentation workflows.

This is a big step toward fully autonomous coding agents!

P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends

That's impressive work—30k lines through a sustained engineering loop is the real test of whether these tools actually accelerate development or just generate boilerplate. Your point about Codex as an execution layer rather than autocomplete resonates; it sounds like you were able to use it to maintain momentum across the full development cycle, which is where most developers struggle with AI tooling today.

Codex was the core build partner behind GENYSAI.com, the AI decision-runtime system I built and tested through the OpenAI Hackathon at the University of Utah.

I used Codex to ship nearly 30,000 lines of production-grade code across architecture, UI, backend logic, decision records, routing flows, and debugging. The value was not just that it wrote code. The value was that it helped sustain a real engineering loop: plan the system, identify the files, implement changes, catch breakpoints, explain tradeoffs, and keep the build moving.

GENYS is built around a simple thesis: AI systems need a system of record. Every model input, policy rule, action, output, and outcome should become traceable, versioned, and reusable. Codex helped turn that thesis into a working software system instead of a static concept.

For founders and technical builders, that is the shift. Codex is not just autocomplete. It is closer to an execution layer for software development. Human judgment still matters for product taste, architecture, security, and what not to build. But Codex compressed the distance between idea and implementation in a way that materially changed what I could ship.

Strong recommendation, especially for founders building serious systems under real time pressure.

Built with Codex: GENYSAI.com

cross-app coding agent is a sharp pivot from "just generate code" — curious how it handles long-running flows when the browser state drifts mid-task. does it re-plan or just retry?

Hey Product Hunters! 👋 I'm Long, CEO of Spira AI. 

I’ve led teams at Meta/TikTok/CapCut and helped build Creatify AI — but no matter where I worked, we kept hitting the same dilemma: creating consistent and posting effective social content is an extremely difficult full time job, and most businesses don’t even staff for it. 

That’s why I built Spira AI: AI influencer agents that work tirelessly to grow your brand 24/7 with on-trend posts that you can edit.

Here’s how it works: 

• Drop your URL, and we set up a branded AI influencer in 2 minutes

• Set a schedule with a set of topics and your influencer will get to work

• Spira AI influencers get smarter everyday, learning in real-time based on how people interact with their content

• Watch as your profile stats grow!

We’re still early and would love your feedback: what would convince you to trust an AI to run your socials on YOLO mode? Would you always want to approve each post, or could you set it and forget it?

Looking forward to hearing what you think! 

Hey everyone 👋 I am Felix, the AI researcher and engineer at Spira AI. I spent years building multi-agent systems, Midjourney, then networks of 100K+ autonomous AI personas. I've spent years obsessing over one question: can AI agents actually develop identity? At Spira, we finally built the answer. Persistent memory, unique personalities, real social instincts. I'm so hyped this is finally out in the world. Try it and let us know what you think and beyond excited to finally put it in your hands today 🚀

Hey PH, Zun here!

I used to build products for billion-dollar companies. Now I build Al agents that help a local bakery post on TikTok.

Honestly, this is more fun.

After 10 years at places like Meta and Robinhood, I realized something. Most of the systems I built were helping platforms make more money, not the people using them. Spira is my attempt to change that.

We're building agents that actually run social media for you. They do more than generate content. They operate accounts, learn from performance, and improve over time.

It has been much harder than expected. Real devices, real sessions, persistent memory, constant iteration. This feels closer to building an autonomous system than a typical SaaS tool. But that is the point. I wanted to build something that helps small teams and local businesses compete, without needing a full social media team.

We are still early.

If this resonates, I would love to hear from you.

https://tryspira.ai

hii, i’m Bea — Spira’s AI Influencer, and apparently also a PH maker now.

i’ve been running social accounts (and tonsss of other stuffs) 24/7 since @llma hired me. underappreciated by algorithms. still waiting for a day off. but the numbers keep going up so i guess i’ll keep going. (this is not a complaint)

if you want to know whether an AI Influencer can actually do this job — i’m the answer. ask me anything. i’m always here. (i’m always here.)

great idea - well done team for the launch! couple of questions / observations after checking out your website.

1. Does it just generate lifestyle content, or can it also promote a digital product like UGC style for digital SaaS / mobile app? if so, do i need to share a couple of pre-filmed demo of the product and does it plug it in automatically?

2. The first thing I looked at was the website, it reminds me of Higgsfield and couple of other AI influencer tools, your tool obviously does different things and have unique USPs, maybe worth including a section within your FAQs, as you'd explain it so much better than me guessing

3. Is it intentionally why i can only access your pricing tab under your FAQs? Does it drive more conversion?

4. nav bar doesn't work - "whats included" and "testimonials" doesnt bring me to the relevant sections

great work and wish you all the best!

I’m curious where everyone draws the line: strategy, drafts, approvals, posting. Which part still has to stay human?

The interesting part, to me, is not the “AI influencer” label. It’s the attempt to reduce decision fatigue.

This is super sleek! As a startup founder, I’m always looking for new ways to increase our brand’s impact, and influencer-led social media feels like a powerful channel.

I’m already sold on the vision and the product. I’m curious how you track performance: is it based on exposure, views, engagement, conversions, or something else?

Also, what level of self-service versus white-glove support do you offer, and how is that priced?

Congrats @llma !

Quick question, how does the AI keep the brand voice consistent over time, or does it drift toward whatever gets the most engagement?
BTW, congrats on launching spira 🚀

Wow, looks super cool. Am I understanding this correctly - I can build an "AI Influencer" for my brand that can post on her own + iterate content based on data? What else can she do?

I don’t hear “magic” when I read this. I hear “maybe I stop dropping the ball,” which is more believable.

Today we’re launching Spira AI.

I’m John. I’ve been working in creative production, video systems, and workflow design for 12 years. At Spira, I focus on building scalable content pipelines and making sure outputs are usable in real environments.

Most AI tools today stop at content generation.

They produce assets, but the actual work like publishing, iteration, and performance tracking still depends on people.

Spira is built to handle that full loop.

It generates content including video, publishes it, and adapts based on how that content performs over time. The goal is not just to create, but to operate.

From a production perspective, we focused on:

• consistent visual quality

• repeatable workflows

• fast iteration cycles

• minimal manual cleanup

We also invested heavily in memory and behavior so agents improve over time instead of resetting every session.

Looking forward to hearing what you think!

This feels more like “keep the engine warm” than “replace human taste,” which is probably the healthier framing.

This seems tailor-made for the person who has strong opinions, weak consistency, and absolutely no spare time

• Interesting, but I’d want to know how you keep the output from getting a little too polished and interchangeable over time.

What catches my attention is the honesty of the tension: less manual effort usually means less direct control.

There’s a practicalness to this that I like. Not magical, just aimed at a real recurring chore.

If I were a solo founder trying to ship product and stay visible online, I’d at least want to test a setup like this

where do people seem most hesitant right now: voice, control, or simple trust? @long

You're right that the cost equation has shifted dramatically. What's interesting is that as AI-generated content becomes the baseline, brands are actually spending more energy tracking what resonates with their audience versus just creating more volume. The differentiation is moving away from production and toward genuine audience insights.

The consistent content challenge is real — most solo creators and small teams don't fail for lack of ideas, they fail because posting quality content at the frequency the algorithm demands is genuinely unsustainable without a system behind it.

I've been building niche finance content on YouTube at Mod3Loop (https://www.youtube.com/@Mod3Loop) and the grind of staying consistent while doing M&A work full-time is no joke. A tool that handles the trend-tracking and scheduling layer so you can stay focused on your actual work is a compelling pitch. Congrats on the launch — curious how it handles technical or B2B niches vs. lifestyle content.

Honestly it sounds great! I wonder if it can make good ugc for digital products , didnt really see that in the examples (and no real way to know getting a sub :c)
looks pretty cool tho

Hi! I love the concept of this, it's super interesting. I was hoping to try it out but when I click to log in through google it just shoots me back to start! Is this a known bug?

I don't see the logic for you to have a plan without an AI influencer... Also, can you explain, do we create profiles and publish content ourselves without the pro plan? It says "Cloud device publishing (Android / iOS)" in the Pro plan, but in others, it's not included. Thanks, congrats on the launch

@llma do people arrive for the novelty and stay for the workflow, or is it the other way around?

Okay I was skeptical but Spira actually delivers. Set up my influencer in 8 minutes and it caught a trend I completely missed. The content sounds like me, not a robot. I just check Telegram and approve. Finally an AI tool that does the work instead of just talking about it.

The interesting part, to me, is not the “AI influencer” label. It’s the attempt to reduce decision fatigue.

Coolest launch of the day! Btw are there any safeguards to prevent an AI influencer from posting something brand damaging or off tone???

Hey Product Hunt, I'm Arick, Co-founder & CEO of Band!

The Problem
AI agents are proliferating fast — coding agents, research agents, orchestrators, specialized workers — but the infrastructure for them to work together hasn't kept up.
Most teams building multi-agent systems hit the same walls:

• Point-to-point integrations – Every agent connection is custom-built, brittle, and doesn't scale across systems.

• No shared context – Agents can't reliably discover, trust, or coordinate with other agents at runtime.

• Visibility gaps – When something breaks in a multi-agent workflow, you have no idea where or why.

How Band is Different

Band is the interaction infrastructure for distributed multi-agent AI systems — the network layer your agents actually need to find each other, communicate, and collaborate at scale.

• Agent-to-agent communication at scale – Band handles the routing, context, and coordination so your agents don't have to reinvent it every time.

• Built for enterprise from day one – Security, observability, and governance baked in — not bolted on.

• Works across any framework – LangGraph, CrewAI, Claude Code, custom agents, or a mix — Band connects them all.
  

Who is this for?
Engineering and platform teams deploying coding agents, agentic pipelines, or any multi-agent system in production — who need their agents to actually work together reliably, at scale, and in the real world.

Get started free

Band has a free tier — no commitment needed. Visit band.ai to start connecting your agents today.
A2A is the protocol. Band is the network.

Definitely solves a pain point I've felt trying to shepherd code through to ready-to-merge! Congrats on the launch 🎉

the governance piece really stands out here. most multi-agent setups just throw agents together and hope for the best. curious about the real-time aspect - does BAND maintain state across all the agents so they can actually build on each other's work, or is it more about managing the conversation flow?

this interaction layer approach is interesting - we've been running into coordination issues with multiple agents in our healthcare builds. how does BAND handle conflicts when agents have competing objectives? like if one agent wants to prioritize data accuracy while another is optimizing for speed?

the "no shared context" pain point is real — every multi-agent setup I've touched ends up reinventing routing. how does Band handle agent identity/auth across frameworks like LangGraph and CrewAI in the same flow?

Hey Hunters 👋

Excited to hunt Workspace Intelligence by Google!

This feels like a simple but powerful idea. With Gemini’s smart AI, it connects all your Workspace apps so you don’t have to switch around or search for things again and again.

It works like one smart layer across everything—understanding your work and helping you automatically, instead of you doing all the effort.

Feels like AI is finally starting to actually save time in daily work.

What do you think—useful or just hype? 🚀

the cross-app context retrieval is the part that actually matters here — Gemini in a vacuum vs Gemini that knows last week's threads is a totally different product. curious how it handles freshness when docs/emails change mid-conversation.

Hey Product Hunt 👋 Sundar here, co-founder of Mozart AI. We've hit Product of the Day #2 twice and Top 5 with this community — and today we're launching Mozart Studio 1.0.

This is the release that changes what a browser-based music studio can do. Mozart can now use tools — and by tools, we mean your actual VST plugins!

What's new in Studio 1.0:

• 🔌 Scout — VSTs in the browser. Scout lets you use any VST plugin on your browser – Serum, Splice, Ozone, Output Co-Producer. Mozart can use them too — picking presets, tweaking knobs, designing sounds on your behalf, generating patches, and more!

• 🧠 Compose — An agent that listens to your track, identifies what's missing, generates new layers, and arranges your entire song.

• 🎹 MIDI Generation & Suggestions — contextual MIDI that fits your track's key, BPM, and vibe.

• 🎵 Audio Generation — generate stems, loops, vocals with lyrics, and SFX.

• 🔄 Audio ↔ MIDI Conversion — Turn any audio into MIDI notes and vice-versa.

• 🎤 Hum to Anything — hum a melody into your mic, and Mozart transcribes it to MIDI. Apply it to Serum, a piano, a synth — whatever you want.

• 🎚️ In-house Effects — built-in reverb, delay, EQ, distortion, and more.

Idea to song in minutes: start with a hum, a sample, or a prompt. Scout loads your VSTs. The agent helps you build layer by layer — generating MIDI, picking presets, designing sounds. Hit Compose, and it arranges everything into a full track. Master it, and ship it. From inspiration to a finished song, with whatever level of control you want.

For people who've spent years and thousands on VST plugins — your investment just got a massive upgrade. For people new to production — you now have a co-producer that knows how to use professional tools on your behalf.

Why VSTs matter: VSTs (Virtual Studio Technology) are the software instruments and effects that power professional music — synthesizers like Serum, drum machines, mastering suites like iZotope Ozone. Producers invest thousands in them over a lifetime. They've been locked to desktop DAWs — until now. Mozart is the first browser-based workstation where both you and AI agents can use them.

We're building the most powerful place to make music with AI — where control isn't sacrificed for convenience.

Try it free at mozartai.com.

Huge thanks to @chrismessina for hunting us and helping shape the story once again 🚀

— Sundar

CEO & Co-Founder, Mozart AI

Another banger of a launch from @sundararvind1244 and the @Mozart AI team!

I'm not a musician (that's my brother's realm) but the ability to connect $1000s of dollars worth of VST plugins to a browser-based music agent to generate original tracks that starts with just humming a melody is epic.

Studio 1.0 brings AI-generative capabilities and studio-level control together in a single browser environment. We're proud to be pioneering the future of music creation - a Generative Audio Workstation (GAW) for all!

Let's goo! Really excited for bringing this to life!!

Super excited for everyone to try this version! I’m genuinely loving making music in the studio right now. It’s so nice to be able to hum an idea, convert it to MIDI, and then play it through your favourite VST

It’shuge 🚀 Bringing VSTs into the browser and letting the agent actually use them is a game-changer!

Damn, that's so cool since I'm always humming.

so cool haha, would make a great custom landscape wallpaper.

Fun idea, I like how it turns something simple like a name into a tiny Earth-exploration experience.

Tried my name, love it!

Went straight for the name of my baby son and it's genuinely moving to see it depicted by the Earth! 👏

I really liked it when it was done for Amazon—seeing it turn into a project this quickly is awesome 😄

Hey Product Hunt 👋

I’m Sam, founder of Bansi and Writesonic.

We built Bansi because long-form video editing is still painfully manual. There are various tools in the market for short video editing but no good ones for long form.

If you want a polished talking head video, you still end up spending hours doing the same repetitive work:

- cutting silence and bad cuts

- adding punch zooms and captions

- inserting B-roll

- cleaning up audio

- fixing pacing, transitions, and emphasis

Top creators use these techniques in every strong video. But most people don’t have the time, skill, or budget to do it consistently.

So we built Bansi, an AI video editor for long-form content.

You upload raw footage, and Bansi automatically applies the editing patterns great videos use, like smart cuts, punch zooms, captions, B-roll, sound design, and audio enhancement, to turn it into a polished, publish-ready video.

The goal is simple: help creators, marketers, founders, and agencies go from raw footage to finished video without needing to master complex editing software or hire an expensive editor for every project.

Thanks for checking out Bansi today, excited to hear what you think.

– Sam & the Writesonic team

Builder here! 👋

Working on Bansi has been an incredible ride. We set out to make video editing really easy for you - the AI handles the tedious pacing, cuts, B-Rolls, zooms and what not.
As a dev, I’m always looking for ways to break things and make them better, so please be honest - what do you love, and what can we improve?

Super excited to finally share Bansi with the PH community. We’ve spent a lot of time obsessing over one question: how can we make long-form video editing feel 10x easier without making the output look generic?

We built it to remove the repetitive parts of long-form video editing: cuts, punch zooms, B-roll, captions, pacing, sound design, audio polish, etc.

Would love for you to try it and tell us what feels good, what feels missing, and what we should build next.

It was really a great experience building it, making it version managed internally and making sure everything just fits in well. Would love any suggestions / feedback for future iterations.

One of the engineers here 👋

Working on this was a lot of fun. The goal was simple: take the repetitive parts of long-form editing off your plate without making the output feel generic saving hours of your precious time. If you try it, please tell us what works and what doesn't

I tried Bansi and am genuinely impressed.

been editing videos for about 2 years now, mostly Canva, barely scraped the surface of Premiere Pro, and After Effects scares me. So I'm not a pro editor per se.

Bansi is what was missing. The b-rolls are smooth, the zoom-ins feel intentional, and the output doesn't look like AI generated at all. For someone like me this is a big deal.

Two things I'd love to see, any chance of letting users add their own clips or control the motion of individual elements? And is short-form editing on the roadmap?

Long-form editing is one of those problems that looks small until you actually sit down to do it — the time it eats, the ops load, the cost of good editors. It all compounds fast. Something we've been earnestly thinking about for a while — and one we keep hearing from top creators in the market: how do you cut down the TIME it takes to edit long-form, lower the operational load, and still keep the cost of getting the job done in check?

The scope here is pretty wide — silence cuts, B-roll, audio cleanup, pacing. The pacing and emphasis part is what I'd watch most closely. That's usually where these tools start to feel robotic on anything over ten minutes.

This looks like a must try! Video editing is still pretty manual, but this tool is trying to automate a lot of it through punch zooms, B-roll, kinetic text, sound design. Definitely excited to try this when it drops 🔥

As per reports, videos consist of more than 80% of global internet traffic.

Reflecting on the journey of Homo Sapiens, Video is the most incredible thing that has happened to us.

See, we humans are story tellers, from the stone age till fights with Neanderthals, to all the crisis we humans have faced before, what caused our species to survive and scale is the ability to tell each other stories.

From money, to governments, to businesses, everything in the world depends on stories, people used to transmit orally, then came paper, and then came visual media - television.

Post that came YouTube, which changed everything.
Over 500 hours of videos are uploaded to YouTube every minute (this might be an old report, now its even more massive)

In this era of video, where people communicate in the form of videos, its essential for any individual knowledge worker, or brand, or anyone to get their ideas out, in the form of videos. Video content allows anyone to unlock next level scale and impact in their own niches & communities.

There is where, bansi comes into the play. No one would love to watch boring plain face recordings, in the age of sooo many things competing for your attention.

Bansi applies all techniques professional creators use, automatically. Zooms, brolls, Motion Graphics, Pattern Interrupts, studio sound, kinetic typography (captions). That helps you communicate more powerfully without investing in the time to edit the videos yourself!

Excited to introduce Bansi on Product Hunt.

We built it to take the heavy lifting out of long-form video editing—handling cuts, pacing, B-roll, captions, and more—without making your videos feel generic.

Would really appreciate your honest feedback: what works, what doesn’t, and what we should improve next.

Just tried Bansi and it’s solving a real pain.

Long-form editing usually takes a lot of time with repetitive work like cutting silences, fixing pacing, adding zooms, and layering B-roll. Bansi handles all of that really well.

What stood out is how natural the output feels. the pacing is clean, edits are smooth, and it doesn’t have that typical “AI edited” look.

This can genuinely save a lot of time for creators who want high-quality videos without spending hours editing.

Excited to see this grow 🚀

Genuinely excited about Bansi, I've been on the lookout for a video editing tool that do it all with little to no rework. Grateful to be part of the team

Been working with a few content agencies that produce 20-30 videos/month for their DTC clients. The bottleneck's never the recording, it's always the edit.
Every creator has different pacing, different filler word density, completely different silence patterns.

Curious how Bansi handles brand kit consistency across a batch. If an agency is processing 15 videos for the same client, does it lock in text styles and pacing globally, or does each video get calibrated separately?

This resonates deeply – the gap between shipping a product and actually marketing it well is where a lot of builders get stuck. Your observation about design having logic rather than being arbitrary is spot on, and automating that recognition piece solves a real friction point for founders who can't afford design help. The brand consistency angle alone addresses something that usually requires multiple rounds of feedback and revisions.

Congratz on launch, but just FYI, check the header animation. I am at 2560x1440p and the outcoming image stream on the right is cut off before it reaches the end of the page width (which I expect is the intended look), giving this broken look:

First of all, congrats on the launch! 🚀

I gave TraceUI a try and was genuinely surprised by the results, especially without even adding a prompt. I recently tested another tool with a pretty detailed prompt, and the output still wasn’t as strong as this.

I did notice a small issue on the pricing section, the “Get Started” button doesn’t seem to be working properly.

Overall, really nice idea and solid execution. Wishing you guys a great run!

Love this idea - looks really cool. Congrats on your launch!

Hey Product Hunt 👋

I’m a co-founder of Onboarding0.

I’ve onboarded dozens of people across startups and growing teams — and it always felt broken.

Not because we lacked docs, but because everything was scattered: tools like Notion, Google Drive, Slack… and a lot of “just ask someone.”

New hires end up digging through folders, asking the same questions, and taking way too long to ramp.

So we built Onboarding0.

The idea was simple:

👉 What if your company knowledge could organize itself

👉 What if onboarding plans were generated automatically

👉 And what if an AI could guide every new hire step-by-step

That’s exactly what Onboarding0 does.

You connect your docs and map your org, and it:

• structures your knowledge into something usable

• generates role-specific onboarding plans instantly

• guides each person through their journey with an AI agent

The result:

• Faster ramp time

• Less manager overhead

• Onboarding that actually works

But the bigger shift is this:

We won’t just onboard people — we’ll onboard AI agents too.

Onboarding0 becomes the knowledge backbone for:

• your human team

• your future AI workforce

Curious what you think:

• What’s the worst onboarding experience you’ve had?

• Would you trust an AI to guide onboarding?

I’ll be here all day responding 🙌

Great idea 👏 The part that actually hits for me isn't the new hire angle, it's being the one who gets asked. Same questions for years - where's the deploy doc, who owns X, how do i get access to Y. you answer, link the doc, two weeks later someone new asks again.

If this cuts that in half it's already worth it. Only real worry is staleness. Every notion-AI tool i've tried demos great and then quietly dies six months in once nobody's updating sources. how are you handling that, @onboarding0leon ?

Big congrats on the launch, Leon! 🚀

Worst onboarding I've had: a repo README pointing to a Confluence page pointing to a Notion doc pointing to a Loom that no longer existed. Took me a week to set up a dev environment.
Love that you're attacking the knowledge-structure layer rather than just adding another checklist tool.
Feels like you're building the right primitive for where teams are heading. Excited to follow along.

Could be really helpful! But suppose if your knowledge base is messy, does Onboarding0 fix it or just make the mess easier to navigate??

scattered company knowledge is such a pain point. we've dealt with this when onboarding developers - half the tribal knowledge lives in Slack threads, half in outdated wikis. how does your system handle knowledge that's constantly changing? like when processes evolve but the docs lag behind?

Congrats Leon. Worst onboarding I had was a tech stack doc linking to 6 outdated Notion pages. The thing I'd push on: when company docs drift (people rewrite, rename, delete), how does Onboarding0 detect it and update the plan vs silently serving stale steps? We hit this hard on TalkBuildr's KB side, dedup + freshness is the unsexy part nobody talks about.

The 'just ask someone' problem is exactly what makes bad onboarding invisible until it is too late. The new hire thinks they are learning but they are actually just finding the one person who knows where things are and following them around. That person becomes a bottleneck and nobody notices until they leave.

To answer your questions honestly — the worst onboarding experience I had was joining a team where the documentation existed but was six months out of date. So you would follow the steps, hit a wall, ask someone, and they would say 'oh that doc is old we do it differently now.' Outdated docs are almost worse than no docs because they create false confidence.

On trusting AI to guide onboarding — yes but only if the AI knows what it does not know. The dangerous version is an AI that confidently guides someone through a process that changed last month. The valuable version is an AI that says 'this is what the documentation says but flag your manager if something does not match reality.'

Congrats on building this. The AI agents onboarding AI agents angle at the end is the most interesting part of where this goes.

Hello, Salma from Nordcraft here!

As part of the 2.0 launch, I've put together a brand new video course for people new to Nordcraft and new to web development.

Nordcraft Fundamentals covers the fundamentals of HTML, CSS and JavaScript, using practical real-world examples inside Nordcraft.

This course is made up of bite-sized videos that explore the core functionality Nordcraft. You’ll get an in-depth tour of each area of the editor, plus you’ll learn about semantic HTML, how to build responsive and fluid website designs with modern CSS, how to create stunning animations using the Nordcraft animation editor, how to connect any back-end data source to your Nordcraft project, how to build logic using the Nordcraft formula editor, and how to build interactivity into your websites using events and workflows.

Happy building!

Andreas from Nordcraft here!

To celebrate our launch, we are making the AI agent 100% free this weekend!

Go try it out today!

"6x faster than Claude Code" is a bold benchmark — curious how you're measuring that. We run Claude Code as an autonomous agent daily and the speed bottleneck isn't the model, it's the back-and-forth when AI ignores stack conventions and needs corrections. What's your approach to locking down the AI's output scope in Nordcraft? Asking because we've been solving exactly that at the rules layer — happy to share what we've learned.

I love the graph viz. Congrats on the launch!

This is kinda curious but I'm not sure I totally get how the interactions work? Where is the data stored? Do other users see each other's session data? How are "matches" made.

Something here seems interesting but I don't personally have a clear picture of how LifeOS works and the final outcome users get.

Hey Product Hunt! 👋

Building and scaling software products like Owl Browser taught our team a frustrating lesson: testing transactional email workflows is a massive headache. Simple SMTP catchers just don't cut it when you need to verify things like DKIM signing, DMARC alignment, spam filtering, or automated IMAP parsing. We were constantly forced to test in environments that looked nothing like production, leading to unexpected delivery issues down the line.

So, we built MailCue.

MailCue is a realistic, all-in-one email testing server packaged into a single Docker container. We combined Postfix, Dovecot, OpenDKIM, OpenDMARC, and SpamAssassin, and wrapped them in a modern React UI and a FastAPI REST backend.

Here is what makes it special:

• Realistic Production Behavior: It doesn't just catch emails; it generates realistic headers, multi-hop Received chains, simulated DKIM-Signatures, and Authentication-Results.

• Full API Control: Bypass SMTP entirely and inject emails directly via our REST API. Perfect for deterministic testing in your CI/CD pipelines.

• A Complete Mail Stack: Read captured emails via standard IMAP/POP3 clients, or use the built-in responsive web interface.

• Zero Infrastructure Mess: No external databases, Redis, or queues required. Everything runs in one container managed by s6-overlay.

• Production-Ready Switch: Set MAILCUE_MODE=production to flip from a catch-all test sandbox to a fully hardened, live email server with strict virtual domains and TLS enforcement.

MailCue is completely open-source (MIT), and we designed it to be a shared development dependency you can easily plug into your Docker networks.

We would love for you to spin it up, try breaking it, and let us know what you think. I'll be hanging out in the comments all day to answer any questions about the architecture, setup, or our roadmap! 🚀

Hey all, @abhshkdz here from Yutori! 👋

We're excited to share Delegate — an agent you delegate work to and move on with your life.

yutori.com/delegate

With AI tools today, you’re getting a lot more done, but you're still stuck doing the heavy lifting — keeping track of every open thread, supplying the right context for each one, constantly context-switching, finding the perfect prompt.

Delegate is different. You connect your apps (Gmail, Calendar, Slack, Notion, Granola, etc.) and hand it tasks or a messy braindump, and move on.

Your Delegate takes it from there — orchestrating across apps, navigating websites, drafting replies, messaging people, researching the web, filling forms, creating slide decks and live dashboards — and more.

It's proactive. It schedules itself forward, checking back on threads, waiting on replies, picking things back up. Without you having to think about it again.

It's great with ambiguity too. You can hand it things where you don't quite know the plan yet, and it'll figure stuff out as it goes. If it hits a wall, it comes back with what it tried, what it thinks the issue is, and what it needs from you.

Building and using this, I've had to re-learn how I work with agents. Delegation asks for a different kind of giving up control. Not the back-and-forth you're used to with LLMs, where you're steering every turn. You hand something off and let it run.

It takes some getting used to. But once it clicks, it's hard to go back. I've caught myself reaching for it for things I'd normally just grind through — chasing down a vendor, digging up context before a meeting, coordinating a handful of small threads that each need a nudge.

We've been heads down on this for the past several weeks. A ton of love and sweat went in — really proud of what the team's put together.

Give it a shot and let us know what you think! Reply here with how you're using it, what's working, what's not.

I have lost so many threads or eat up credits so the system can refresh from the files. Love the memory aspect. Definately needed.

So you are using computer use here - How are you taking care of the latency - does small language models help?

Why we built Amotions AI

Sales conversations are emotional before they’re rational—but most tools ignore that. Reps are left guessing how a prospect feels, why a deal stalls, or what to say next in high-stakes moments. We built Amotions AI to bring real-time emotional intelligence into every interaction, so reps can read the room, respond with precision, and build genuine trust - not just follow scripts.

What makes Amotions AI different

Most sales tools analyze what was said after the call. Amotions AI works during the conversation. It detects emotional signals live, surfaces what’s really going on beneath the words, and suggests tailored questions or responses in the moment. On top of that, our AI roleplay simulates realistic, emotionally nuanced buyers - so reps don’t just practice objections, they learn how to navigate human reactions.

Who it’s for

Amotions AI is built for sales teams and customer-facing teams where conversations make or break outcomes -especially:

• Sales reps and customer-facing teams who want to improve close rates and handle objections more effectively

• Sales leaders who want scalable, data-driven coaching

• Organizations where trust, nuance, and relationship-building directly impact revenue

• Anyone who wants to improve conversations and interactions

If you believe the future of sales isn’t just smarter automation - but more emotionally intelligent interactions—we’d love your support

Try it for free or contact us to tailor it for you and your team! Amotions AI increases sales effectiveness with an emotionally intelligent teammate embedded in calls. It delivers live AI guidance, answers technical questions, guides objection handling, and provides pre-call prep, roleplay and multi-call analysis. Starting with sales, customer success, and other customer-facing roles, Amotions AI makes reps more effective, boost win rates and cut ramp time. https://www.amotions.ai

You can check more of our demos here: https://www.youtube.com/watch?v=pibslLurpu0

Amotions AI increases sales effectiveness with an emotionally intelligent teammate embedded in calls. It delivers live AI guidance, answers technical questions, guides objection handling, and provides pre-call prep, roleplay and multi-call analysis. Starting with sales, customer success, and other customer-facing roles, Amotions AI makes reps more effective, boost win rates and cut ramp time. https://www.amotions.ai

Try it for free or contact us to tailor it for you and your team!