PH热榜 | 2026-08-31

Hey Product Hunt! 👋

I’m Coral, Head of Growth at @Fotor .

We're thrilled to launch Fotor Video Agent - Create and edit precision motion graphics & video with chat.

Why we built this:

A few months ago, our team spent hours crafting a 90-second product video with AI. It looked perfect — until we spotted a typo in an animated chart. To fix one word, we had to re-run the entire prompt, burn more credits, and pray the next version would still look consistent. That felt backwards.

The problem with AI video today: Most tools give you a locked MP4. You can't edit text, swap a shot, or adjust timing without starting over. For growth teams iterating on campaigns, that's a dealbreaker.

Here's what makes Fotor Video Agent different:

• Editable multi-track timeline — Every text, number, logo, and chart stays editable before you render. Fix a typo without regenerating the whole video.

• AE-level animated infographics — Turn raw data into animated charts that stay live and parametric. No After Effects needed.

• End-to-end agent orchestration — Describe your idea, upload a PDF, or paste a script. The Agent plans, generates, and assembles everything on the timeline.

In our tests, what used to take 3-5 days now takes about 40 minutes.

Getting started: Bring a brief, raw assets, or even a rough idea. We'll help you turn it into a polished video project.

Quick demos:
• SaaS product walkthrough ➔ Watch
• Docs-to-explainer ➔ Watch

What's the one video editing task you wish AI could handle for you?

I'm here all day — happy to answer questions! 🚀

It used to take a small army to ship one great video. Now, you can start with one agent.

A typical production might involve a strategist, scriptwriter, designer, motion designer, editor, voice artist, plus a stack of different tools just to get from an idea to something ready to publish.

Having worked closely with the team behind Fotor Video Agent, this is the shift that excites me most. Give the agent an idea, document, or raw assets, and it can orchestrate the production across scripting, scenes, visuals, timing, voice, music, and motion graphics.

But the important part is that you don’t lose control once AI takes over the heavy lifting. Instead of ending with a black-box video, you get a structured, multi-track project where text, numbers, logos, charts, and motion graphics remain editable before the final render.

For founders and makers, that feels especially powerful. Your launch changes constantly: a stat gets updated, the copy changes, the product evolves. You shouldn’t have to regenerate an entire video just to fix one detail. One agent to orchestrate the production. You stay in control of the final cut.

To me, that’s the bigger shift: from AI video generation to AI-assisted production. Excited to finally see this out in the wild.

Nice one! I just tried the Motion Studio by @Topview yesterday, gonna try this one too and see which works better for me.

Feels like AI video is moving from “generate me something cool” toward “help me produce something I can actually use.” That second category is much more interesting to me.

How much do you usually have to fix after AI creates a video from a doc? Or is it pretty much ready to use? also it's different from Davinci

For content marketing, the annoying part is often not coming up with an idea, but turning that idea into an actual finished video. Having one workflow handle more of that process is pretty interesting.

Fotor used to be a mobile app as well. Is the video editing part of the app now or its web only?

Nice, can you tell me more about the ai features mentioned in the poster?

M tired of juggling tools for consistent branding, can Fotor really do it all?

How accurate is it in practice?

800M users are just wow, like really?😲

I am a longtime Canva user, while Fotor keeps catching my eye since long.

And $3.99/m seems almost too good, what's the catch? lol

The editable multi track timeline really stands out. Being able to fix a typo in a chart or change a logo without rebuilding the whole video solves a very really frustration with AI video tools.

I could see this being especially useful for recurring video formats. Once you know the type of content you want, having an agent handle the repetitive production steps makes a lot of sense.

This new ai feature honestly seems useful.

Quick question: does it work well with portraits where the subject is close to the edge, or does this struggle with complex backgrounds?

Hey Product Hunt,

Marsad, co-founder of BrandJet.

What is a lead? You bought 10,000 from a data vendor and 9,940 are a Gmail address attached to a guy who changed jobs during the pandemic. Meanwhile real buyers are posting "anyone know a good alternative to [your competitor]?" in public, right now, and your current GTM/sales stack can't account for that unless you pay for tool after tool, and still - just not it.

We fixed that spent the last year building one of the most comprehensive GTM platforms on the market - with a pretty insane MCP server.

What BrandJet does:

Listens across X, Reddit, LinkedIn and the open web for mentions of your brand, your competitors, your category
Turns each signal into a lead with contact info and context
Reaches out on the channel they answer: email, LinkedIn, WhatsApp, X, Instagram, Telegram
Lands every reply in one inbox, CRM behind it
Signs the contract in the same platform (Plutus, ours, long story)
Artemis, our AI agent, does the grunt work

Our platform listens before it speaks. People are saying it's the first outbound platform that does. The people are mostly Nirav, my co-founder, but he's very smart, so.

For the Claude and Codex crowd: the whole platform ships as an MCP server, 70+ tools across listening, enrichment, outreach, the inbox, the CRM. Point your agent at it and build the GTM workflows we didn't think of. Artemis runs on this exact layer, so anything our agent does, yours can do too. Bring your own agent.

Proof we believe it: we use BrandJet to sell BrandJet. Kafka would call it a trial with no verdict. It's going great.

Launch offer: Use BRANDJETHUNT30 for 30% off for the next three months ;)

Ask me anything, tell me what's broken and help me build a generational GTM platform.

The social listening side caught my attention. How do you handle noisy or ambiguous mentions so teams don’t end up chasing signals that look relevant but have little buying intent?

Bringing email, LinkedIn, WhatsApp, and Instagram outreach into one workflow is a practical touch. I like that the platform also connects outreach with brand and competitor sentiment, instead of treating them as separate tasks.

the part that stands out to me is signing the contract in the same platform. once a deal gets to that stage, is there a human review step before terms go out, or is Artemis drafting and sending the contract itself too? that's the part I'd want a human in the loop on even if everything before it is automated.

Hey, this looks like an excellent product. Just a quick question here - how do you compare to tools like Gojiberry and Instantly? I feel like you are combining both things into one which is cool, but do you have the warmup and all that infra stuff that they have as well?

is it scraping reddit? scraping reddit has increasingly been difficult. Or my question is how does it get data from reddit?

I like the idea of connecting the full path from a public buying signal to outreach and CRM follow ups. Having those steps together could save a lot of context switching for small sales teams.

The combination of buying signals and outreach feels especially useful for teams that spend too much time manually finding prospects. Turning a relevant conversation into an actionable lead makes the workflow feel much more focused.

The 9,940 line is the best description of a bought lead list I've read this year. The risk sits on the other side though, because if this works properly the person who posts anyone know an alternative to X gets eleven messages in an hour and quietly learns not to ask in public. WhatsApp and Telegram are where relevant stops counting and it just reads as being watched. I'd cap outreach per signal and put that on the pricing page, it's the trust feature in this category.

which signals count as public, and how they keep it from being scraping people who never opted in?

Hey PH 👋 Raj here, co-founder & CEO of Revolte.

Every AI dev tool makes you pick a side. Cursor is hands-on: you're in the loop for every keystroke. Devin is hands-off: you hand it a task and check the result. Both are good, but neither is enough on its own for a real team. Because different work needs different oversight.

A tricky refactor in your payments service? You want hands-on. A backlog of dependency bumps? Hand it off. The real question isn't "do we adopt AI?" It's "how do we adopt it across different work with different risk profiles?" Nobody's answering that.

So we built Revolte to give you both, in one workspace.

Autopilot mode (from our previous launch) takes a Jira ticket and runs it end-to-end through PR and deploy, with engineers approving the meaningful steps.

Today we're adding Interactive Sessions: a tabbed workspace where you drive the full lifecycle with the agents directly, architecture, code, tests, staging, deploy. One session per task, you approve every step. No Jira required. Sign up and start in under a minute.

Same governance layer for both. Plan approval before code, inline diffs before merge, cost caps before deploy, audit trail on every action.

Hands-on when you want control, hands-off when you want throughput. Same platform, same procurement conversation.

Would love the hard feedback, especially from engineering leaders figuring out how to adopt AI across teams with different risk appetites. That's the problem we built this for.

Looks exciting! My only question is when do I trust an AI agent enough to let it touch my codebase?

Good day PH Wizards,

Excited to finally launch Revolte — one platform for both interactive and autonomous AI development. 🚀

What I keep hearing from engineering leaders:
they've got Cursor for their senior engineers, Copilot for the broader team, and they're piloting Devin for autonomous work. Three tools, three governance models, three procurement conversations, three cost centers.

The pitch for Revolte isn't "we're better than any one of them." It's "you don't need three tools."

• Interactive Sessions cover the hands-on work.

• Autopilot covers the async work.

• Both share one governance layer, one audit trail, one budget system, one procurement conversation.

The thing early customers point to isn't a specific feature. It's not having to run separate rollout plans for interactive versus autonomous AI adoption. Same platform, same rules, teams pick the mode that fits the work in front of them.

Curious to hear your take — are you seeing the same thing inside your org? 👀

I can see Interactive Sessions being useful for unfamiliar codebases. does the agent keep context across those sessions?

@rajagopalanar As a solo developer so far I've not considered full automation of my SDLC, but it may be something I consider in the future with tools like Revolte.

The hardest engineering question in building Revolte was this: how do you make Interactive Sessions and Autopilot feel like one product, not two things bolted together?

The answer is that they share a substrate. Both run on the same agent stack, the same governance layer, the same Platform-as-Code contracts. When you switch from driving a session step by step in Interactive to handing off a Jira ticket in Autopilot, you're not moving to a different system. It's the same agents, with a different amount of your attention on them.

That's what makes it a real adoption story for enterprises. You're not deploying two tools with two governance models. You're deploying one platform that meets your teams where they are, some hands-on, some hands-off, all inside the same boundaries.

Happy to go deep on the architecture if anyone's curious.

The out-of-the-box preview and staging setup sounds awesome ! If it really eliminates the need to wrestle with custome Docker/K8s configs, that's a huge time saver. 🚀

Nice to see something that covers the whole lifecycle rather than just the editor. Feels like a different category from the usual assistants.

Spent the last few months on Interactive Sessions. The question that drove the design: how fast can we get an engineer from sign up to seeing the agents do something genuinely useful in their own workflow?

Where we landed: sign in, open a tab, start a session. No Jira setup, no CI config, no long onboarding. The tabbed workspace works like your browser, one session per task, switch between them, close what you're done with.

You drive the full lifecycle step by step: architecture, code, tests, staging, preview, deploy. When the agents hit a judgment call, you get a focused prompt. When they're ready to touch your code, you see the plan, then the diff, then you approve or modify.

Autopilot is still there for the async work, connect Jira and tickets flow through end to end. But Interactive Sessions is the mode you'll live in day to day, and the one you can try in a minute without committing to anything.

Would love to hear what people think of the flow once you've tried it.

The comparison that comes to mind is with the vibe coding tools like Lovable and Emergent. Those are fun for quick builds, but this is clearly aimed at engineers shipping into real codebases with control at every step. Different league.

@rajagopalanar @parthasarathi_raghavan @arulwatson really neat product - how has adoption been thus far - curious how steep the switching costs are for current dev teams?

Congrats on the launch. Giving teams both Interactive Sessions and Autopilot under the same governance layer is a practical approach to handling different levels of risk and oversight.

Interesting approach, saving this for later.

Nice one. Having both modes makes sense - hands-on for the risky stuff, autopilot for the boring tickets. Good luck today!

Love that you made "you approve every step" a first-class feature instead of chasing full autopilot; that trust-through-control approach is exactly what engineering teams actually need.

Really like the idea of how Revolte can work with both new ideas and existing codebase. Feels much closer to how real engineering teams actually work.

Honestly i would be more interested in the failure cases than the happy path. Whats the most comman reason an agent run gets stopped?

The audit trail caught my attention more than the code generation. are teams using it mainly for governance or debugging too?

For me the biggest question would be deployment confidence. what happens when an agent hits something unexpected mid deploy?

Cost caps + audit trails are underrated. agent autonomy gets much easier to sell when there is a clear paper trail.

The step by step approval model feels practical. i would trust autopilot more after seeing exactly where i can intervene.

No Jira required for Interactive sessions is a nice touch. Sometimes you just want to take an idea and start working on it without turning it into a ticket first.

The approval flow is probably the part that makes this easier to trust. having AI do the work is one thing, knowing exactly where a human can step in is another.

Nice to see a tool treat the whole delivery lifecycle as the product rather than just code generation. Feels like a different category from the editor assistants. Rooting for you.

Happy launch day team. Proud of this one. The interesting thing I found here is the CLI factory model

Appreciate this,a lot of it makes sense. Especially chat-flow for the most of the SDLC

:D Good launch on Monday when we have Sprint :D

On long calls I end up peeling the label off whatever bottle is nearest. Does it stay quiet enough for a call with the mic on?

This instantly caught my attention for today's launch. I have ADHD, and I usually need something to tinker with while listening. haha I can also imagine my students using this.

love this so much!

The panic key is the real product. Everything else is physics. Shipping the hide shortcut before anyone asked for it is the tell that you built this during a meeting you were supposed to be in.

Yes! Clearly I'm going with the basketball. Congrats on a really fun launch!

this is such a dumb-fun idea and I mean that as a compliment. curious how it behaves with multiple monitors - if I fling the ball off the edge of one display does it actually cross onto the other, or does each screen have its own independent ball? also wondering if the physics loop is noticeable on battery at all when it's just sitting idle in the corner.

Is there a way to download this on PC?

Hi everyone!

@Teenage Engineering’s EP–2350 FX–MIC looks like a tiny radio mic. You squeeze the lever to shape the vocal FX, shake it to modulate, and fire off four samples from the side buttons.

It is $59, lo-fi on purpose, and plugs into a K.O. II or any line-in setup.

You can also swap the samples and rebuild the effect chains in a JSON file. Makers have already been poking at the RP2350 hardware underneath.

And if it looks familiar, it should. This is essentially the earlier EP–2350 Ting in the K.O. II colorway. Same little machine, just pulled out of the reggae set and given a more general place in the EP family.
https://www.youtube.com/watch?v=GDG1n24c9A4
The hardware was always weirder and more useful than the original theme made it look. I keep wondering what weird new voice use cases people will find for this thing..!

Curious about the story behind the name EP–2350 FX–MIC

“Getting me to photograph my entire closet is gonna be the real challenge I still have a ‘maybe later’ pile from last year that I haven’t touched.”

“I’d probably use the outfit planner the most. I swear I keep rotating the same 3–4 outfits and then wonder why I’m bored with my clothes lol.”

“Wait, can it mix stuff I already own with something I’m thinking about buying? Because that would actually help me figure out if I really need it.”

Great idea for an outfit planner as long as it can take personalizations into account.

“Virtual try-on is definitely cool, but honestly the wardrobe part is the bigger win for me. Being able to actually use what I already own feels way more practical.”

my honest hesitation with these apps is always upkeep, not the initial cataloging. I photograph my closet once, feel productive, and then six months later half the items are donated or worn out and the outfit suggestions are quietly wrong without me realizing it. is there any nudge to re-scan or prune the wardrobe over time, or is it on the user to remember to keep it current?

does it builds the wardrobe from photos or receipts, or whether you type it all in?

I love this, and have been needing it for years! Being able to look at my wardrobe in such an accessible way will allow me to use items of clothing I forget that I own. This helps prevent me from buying more clothes, which is a method for living sustainably when fast-fashion is creating so much waste.

Though I do wonder, from a technical side, how have you chosen to store images for each user? Is it based on an individual's device, stored in the cloud, ...? And what caused you to make that choice?

I buy small ad placements and the ones I cannot measure never get renewed. How does a sponsor know anyone actually saw the sticker?

I sold ad space on the MacBook I don't own yet and raised 7,273€ in 48 hours (BrandMyMac.com)

I've created BrandMyLaptop so now you can do it too 🙏🏼

→ add your laptop, Mac or PC

→ your spots, prices, terms

→ brands buy, you approve

Print stickers, print money.

I chuckled at this one. 7,273€ on a not-yet-purchased Macbook is neat, brb listing my next laptop

I just set up my brand my laptop page and it was so easy to sign up and rent :) I am so happy that he started this and I think its super super cool

Hi @vynsedev

raising 7k on a 2.5k machine for the original brandmymac is wild.

how do you enforce sticker printing specs on marketplace side
so the final lids actually match the brand's uploaded logo?

Heheh! Somebody told me this idea before but I've never imagined seeing it here. Love it honestly and wish you all the best on this impressive launch

Missed an opportunity to brand this OnlyLids.

Hi I'm Sara, co-founder and CEO of Particle. I wanted to share a bit about the background of Radar, and the Podcast Intelligence API from Particle.

You may remember us from Particle News! Particle News is an iOS and Android app that summarizes and distills news from many sources, helping you get caught up quickly. Over a year ago, we started working on bringing podcast clips into news. We find the best, most relevant podcast clips and bring them into the Particle News stories, giving each story a very human layer of commentary and discussion. Our users love it, and they tell us. We realized that there is actually a ton of value that we could unlock from podcasts. But, in a world increasingly searched by agents, they can't "hear" podcast content unless someone has already transcribed it.

So we started building an API/MCP, the Podcast Intelligence API. We cover over 130,000 actively transcribed podcasts, with 20,000+ episodes added daily. Each episode is fully transcribed, speaker diarized and labeled, and rich entities (people, companies, etc.) are extracted so that you can use this data to establish trends, do deep research, discover podcasts and episodes or just catch up.

But our users also told us that sometimes, you just want to look at it or listen to it :) That's where Radar comes in. Radar is podcast search engine, powered by the Podcast Intelligence API.

With Radar, you can search podcast transcripts by entity, keyword/keyphrase, or semantic meaning, and soon we'll be introducing a Smart Search as well (which will put an LLM in front of your query to best route or answer it). You can also set up alerts for entities and guest appearances, which you can get delivered to you by Slack, email, or webhook, either as they happen or in daily/weekly digests.

Radar is free to try, and then it's $29 per month for Individuals and $399 for Businesses. Use promo code HUNT when you sign up for 50% off the first month. Each tier also gets you API/MCP access, so you can connect your agents to the same data. If you have any custom needs or want firehose access, let me know and we can discuss Enterprise options as well.

One of the most interesting things for me personally about Radar is the trends that are surfaced, and we're going to be releasing more in this space as well. It's amazing to see what podcasters are all talking about right now. Also, whenever there's relevant news about an entity, we surface it on Radar as well, so you can get caught up with what's happening as quickly and easily as possible.

I'd love to chat, so feel free to comment or message me here, or find me on X/Twitter: x.com/pandemona.

Huge thanks to @chrismessina for the hunt, and for all his continued support over the years!

Curious how well it works when you only remember the rough idea, not the exact words.

I like that this goes beyond simply finding podcasts. Making all those conversations searchable could make podcast research much less time consuming.

@naomi_plasterer,I have so many half remembered podcast moments I gave up trying to find again. The idea of finally landing right on the exact one is oddly satisfying. This feels like it would change how I actually use everything sitting in my queue.

Huge fan of Particle and love this use case. Really curious if Particle could spin up a podcast-focused competitor with Techmeme... WDYT @pandemona ?

It's kinda painful hearing yourself say "um" every five seconds once you actually listen back haha. But that's probably exactly why practicing like this can be so useful. Congrats on getting this out there! @petros_tepoyan1

On device with no account is the reason this can work. Nobody practises sounding bad in front of a server they don't trust, and the whole thing depends on people being willing to do a terrible first take. The scoring is where I'd be careful. Pacing and fluency are measurable, coherence is a judgement call, and if that one is wrong even once people quietly stop believing the other three.

Congrats on the launch :)))

Investor demos make sense, but I’d use this more for internal updates and quick client walkthroughs. Those are the recordings I keep putting off.

I’d stick with this if the editing is good enough. If I still need another app to trim or add captions, I’ll probably go back to my old workflow.

I can actually see myself using this for onboarding. Right now, even small feature explanations take way longer than they should.

I've definitely spent longer editing a short app demo than actually recording the thing haha. Anything that makes that whole process smoother is interesting to me. Congrats on getting this out there! @paulmbw1

Probably one of the coolest products I've tried in recent times.

The masking is the feature I'd have skipped and then regretted. Every app demo I've recorded has a real phone number or a test account email sitting in a status bar somewhere, and I always find it after the export. What I'd want to know is whether the mask tracks the element when the view scrolls, because the static rectangle version is the one everyone ships and nobody trusts.

this looks like the sort of things that quietly makes your work come across as more polished than it is. The finished results feel really sharp, and that is exactly the impression I want when I put something in front of people

The thing I'd want to know before switching is audio drift. Recording the phone screen over the cable while the Mac mic runs separately usually pulls a few frames apart by the end of a three minute take, and fixing that is the exact job people came here to avoid. Do you timestamp both streams at capture or correct it on export? Also, the demo I care about most is the bug repro, not the investor video, and those are usually one take with no editing at all.

Hi Product Hunt! I'm Dai, the maker of WebTerm.

Earlier this year I launched WebTerm here: a browser terminal where running `rm -rf /` breaks nothing. More than 1,000 people use it every day now.

Its UI is stripped down to almost nothing, which experienced developers liked. But it's for trying a command the moment you think of it, not for learning things in order, and there was nowhere to explain anything properly.

Engineers who want to get better keep asking me what they should be learning. AI writing the code doesn't end that. How much of the AI's work you refuse to leave as a black box is what decides whether you can step in as a professional, and the more work AI absorbs, the fewer chances there are to build that experience. So I built WebTerm Learn.

• Hand-drawn slides teach the idea, then you type the real commands in a real terminal. Every command is checked as you go.

• The curriculum is a 3D world map. Each course is a land, so you always know where to go next.

• Missions drop you into real incidents: a release that took down production, a secret pushed to a repo.

Pilots meet an engine failure in a simulator, not in the air. Developers should have the same thing.

Terminal, Git, and Vim today, with data analysis, software development, networking, and security to come. All free, and the first lesson takes about a minute.

Whatever you think, I want to hear it. I'll read every comment and reply.

The no-signup and free approach makes this really easy to try. I especially like the balance of hand-drawn explanations with a real terminal instead of learning everything from static examples.

I definitely remember the phase where every terminal command felt like it had a 50/50 chance of doing what I wanted or destroying my computer haha. This feels like a nice way to get comfortable with it. Congrats on getting this out there! @daiaoki

@daiaoki Checking every command as you go is where this gets hard, because on a real terminal there are usually five ways to get the same result, and a learner who reaches the right end state with different flags than you expected should still pass. Does the check compare the command string, or the resulting state of the sandbox filesystem?

Just tried it. Really good git lessons. The other format that's on https://webterm.app/ is good too.

The line about refusing to leave the AI's work as a black box is the right one, and it goes further than the terminal. I shipped a render queue an agent wrote, approved the diff twice without reading past the function signature, and lost three days to a stale job id. So the lesson I'd add is reading a diff, not typing commands, because the way people get hurt now is approving code rather than writing the wrong line. Free and no signup is the reason this one actually gets used.

One day since launch! People from all over the world have started learning, and warm messages keep coming in. Thank you so much!

Tried it, and it's very interesting to see the site's tech stack. Very easy to browse and see the data!

My fave tech is those with Google Analytics and Google Search Console. The only thing is that I don't think I can filter by location. I found some interesting sites but realized the site is not in our target audience's usual location.

Hi all!

I'm Jonathan. I built StackScope on my own.

It started because I wanted to know what new sites are actually built with. BuiltWith and Wappalyzer are good at the established web, but by the time something shows up there it isn't new any more. I wanted the leading edge.

So most of what StackScope indexes, it finds itself. The discovery pipeline has turned up over 2.2 million sites from public infrastructure signals rather than waiting for anyone to submit them, and it identifies more than 40,000 technologies across them. When it reaches a site before the launch boards do, it gets there about two weeks earlier.

Over 420,000 of those are classed as startup launches. The rest is the ordinary new web, and you can narrow to either.

Browsing and searching are free. Paid plans add standing alerts when new sites pick up a technology, an API, CSV export with the contact details those sites publish, and an MCP server so you can query directly from Claude, ChatGPT or Cursor.

If you had one watch, what technology would you put it on? Genuinely useful for me to know.

I can definitely see myself losing an unreasonable amount of time browsing through this just to see techtacks. Really interesting dataset to have access to. Congrats on getting this out there! @datafreak

Barely started and my site is already on stackscope, cool!

Wow! I am disappointed. I was checking out your product and site. Found precheck for launch interesting and then suddenly, I am blocked from accessing the site. Why is that?

I assume that it finds only products or sites that have completed a launch. As I did a search on StackScope, it returned empty.

Every time I want a competitor's stack I end up in view-source, squinting. Does it tell me when a site I already track swaps its analytics?

Hey Product Hunt,

I’m Siddharth, founder of Houndly.io

I built Houndly after spending a lot of time around startup GTM and realizing that the problem isn’t really a lack of tools. We already have great tools for finding leads, sending emails, running LinkedIn outreach, and managing CRM.

The problem is that none of them really learn from the whole GTM loop.

Houndly is that intelligence layer. It connects with your GTM stack, looks at what’s actually getting replies and meetings, discovers better ICPs and accounts, spots buying signals, improves messaging, and helps decide what to do next.

The goal is simple: instead of just automating more outbound, make your outbound get smarter over time.

Would genuinely love to hear what you think, what feels useful, and what you think is missing.

Thanks for checking out Houndly!

@vaderjain - @Houndly sounds promising, but I can't see any pricing and what type of commitment I need, for me this can be a red flag. I appreciate you have a get started for free, but before I pass over my credentials I like to know what financial commitment I need to consider. Best of luck with the launch.

Hey Product Hunt! I'm Rachid, founder of LeaseBase. I built this because of a $3,000 lawsuit.

Last year, a tenant sued me. The claim was wrong, but I spent an entire weekend digging through AppFolio exports, old Gmail threads, and my own memory trying to reconstruct what had actually happened. Work orders, entry notices, deposit records, compliance deadlines—everything was scattered across five different systems that didn't talk to each other.

I won the case, but it exposed a bigger problem. I'm a software engineer with 12 years of experience. If I struggled to stay on top of California's rental laws, how is someone with two or three rental properties supposed to?

What surprised me most was realizing that nobody really owns compliance for independent landlords. Most software helps collect rent or store documents, but when it comes to knowing which laws apply to your property, the responsibility still falls entirely on the owner.

That's why I built LeaseBase.

LeaseBase tracks rent caps, notice periods, deposit rules, required disclosures, and other compliance requirements based on where your property is located. It also manages the day-to-day work—leases, payments, maintenance, and tenant communication. The goal isn't just to record what happened, but to help you understand what needs attention next and why.

Everything you see today—the compliance engine, AI assistant, mobile apps, and platform—was built over the past few months by a single founder. I'm not trying to replace landlords or property managers. I'm trying to give independent landlords the kind of operational support that large management companies already have.

LeaseBase is free to get started, with no credit card required.

I'll be here throughout the day—I'd genuinely love your questions, feedback, and criticism.

@rachid_abadli I love how your misfortune drove you to build a tool to prevent it happening again and share with others who are potentially in the same boat. Hope today's launch goes well.

It's actually a good tool for new developers who doesn't have the budget for graphic designers or animators. Good luck!

I occupied my $10 slot. Who else?