PH热榜 | 2026-07-26

Hi everyone! I'm Saran, the solo developer behind TouchGrass.

Like a lot of people, I had installed a break reminder before... and eventually trained myself to ignore it. Not because I didn't need breaks. Because reminders always seemed to appear at the worst possible time:

• In the middle of a meeting.

• While watching a tutorial.

• During a screen recording.

• Right when I was deep in flow.

So I built TouchGrass to do the opposite.

Instead of interrupting you on a timer, it waits for the right moment. It automatically pauses during meetings, media playback and screen recordings, counts time away from your Mac as a completed break, and includes blink, posture and typing reminders.

One thing I cared about from day one was privacy. TouchGrass never asks for Accessibility permission, and everything runs locally on your Mac.

It's my first commercial macOS app, built over months of evenings and weekends. It's currently available with a 7 day free trial, then a one time purchase of $3.99 with lifetime updates.

I'd genuinely love your feedback. I'll be here all day answering questions and taking notes for future updates.

Website: https://touchgrass.land
Download: https://touchgrass.land/download

Thank you for checking it out, it really means a lot.

There should be longer breaks to make us go outside for longer time :)

IOS App?

Hi)
How exactly does the app detect that a call or screen recording is happening, given that it deliberately never requests the Accessibility permission?

congrats on shipping, the "waits for the right moment instead of a hard timer" framing is the right instinct, most break apps get uninstalled exactly because they interrupt a call. curious about the other direction though - if I'm sitting at my desk not touching the Mac for a while (reading something on paper, on a phone call with earbuds, just thinking) does that idle time count toward a completed break the same as actually walking away, or does it only credit a break once you've been away long enough that it's confident you left the desk?

The tagline mentions context-aware break reminders without invasive permissions, which raises a practical question: what kinds of context can TouchGrass safely use without asking for broad access? Is it more about local activity signals, calendar/focus state, or something else? That boundary would be helpful to understand for teams that are cautious about productivity tools watching too much.

Love that it respects meetings and screen recordings instead of just nagging. One thing I'd love is a custom activity category for apps like writing tools where I want a break but my keystrokes keep triggering the "you're typing a lot" reminder, maybe a whitelist of apps where it stays quiet.

Saran, the answer you gave ivory (idle time, media playback, sleep/wake, the mic indicator, and nothing else) is more useful than the tagline, and right now it lives only in a comment thread.

I sell software that runs on the machines where patient notes get typed, so every app a clinician installs becomes a security review item. What passes that review is never the privacy policy, it is the claim someone can verify without trusting you: no Accessibility permission is checkable at the OS prompt, a sentence in a doc is not.

Is that API list anywhere on the site? The person who approves a $3.99 install on a work Mac is usually not the person who wants it.

"Without invasive permissions" doing a lot of work in this tagline, and honestly it's the right lead - half these tools die at the permissions screen. Did you find people actually take the breaks, or does it become another dismissed notification after week one?

Looks pretty good, but I'd like some light music when I'm resting :)

Curious about one edge case: if I step away from my Mac but just switch to Slack on my phone, it’s not really a break. Do you try to account for that, or is being away from the device the main signal?

Congrats on the launch!

Really like the idea of waiting for the right moment instead of interrupting people with another rigid timer. It feels like a simple, lightweight product, but honestly something almost everyone who spends hours at a computer could benefit from.

I’m currently working on Windows, so unfortunately I can’t try it myself yet — but I’d definitely be interested if a Windows version comes in the future. Congrats on the launch!

I need this so badly, with coding agent I can stay locked in for hours without even realizing!

Let me try it out and provide feedback, but the only issue I can see without trying right now is that timing needs to match when I am done giving the prompts in all pending sessions and they are all firing up, that would be a great time for me to "TouchGrass"

Will provide more feedback after my actual usage, but this is awesome, I am excited to try this out.

I think this app is definitely something I would not use because I have this habit already and I am pretty healthy BUT easily good for highly productive people that have 10+ years of experience in tech or working for corporate. Another pool of people that would love this is students like medical or PhD people.

The "trained myself to ignore it" line is the real problem here, and waiting for a good moment is the right fix. The thing I keep turning over: the sessions you most need to be pulled out of are the 2am flow states and the late-night scroll you don't want interrupted, and those are exactly the moments a polite reminder stays quiet. Does it ever break in when you've clearly been going too long, or is staying out of the way always the priority? Congrats on the #1.

Hey Product Hunt 👋

Part of the team that's been building Athena here.

After years of working with e-commerce merchants, we've learned the real challenge isn't launching a storefront. It's connecting design, payments, shipping, and daily operations into one business that actually runs. Most AI tools hand you half a storefront and stop there. You still have to figure out theme setup and operations yourself. Athena doesn't work like that. It builds you a launch-ready store, then keeps it running.

👉 Here's how it works:

1. Tell Athena what you sell. Describe it, upload product photos, or paste an existing store link.

2. Review the store it builds and go live. Everything is finished: pages, products, policies, localized copy.

3. Hand over the daily work: bulk product creation, discounts, shipping, ad campaigns.

💡 Why you want Athena:

• Launch as-is: a finished store, not a template you spend a week fixing.

• One name for everything: the same AI builds, stocks, markets, and operates your store.

• Visuals without a studio: model shots, lifestyle images, and ad creatives from plain product photos.

• Not just a storefront: payments, logistics, fulfillment, and loyalty are built into the platform.

You stay in control: Athena proposes and executes, you approve.

🎁 To celebrate the launch: build your first store with Athena for free, plus 100 bonus credits and a 7-day free trial when you sign up through Shoplazza AI

I’ll be here all day. Tell me which store task you’d like Athena to handle first.

@jeff_pz mentioned it's not fully autonomous end-to-end yet, especially for stuff like seasonal campaigns, what's the current split between what Athena runs on its own vs what still needs manual review before going live?

Hey Product Hunt, I'm Jeff, founder and CEO of Shoplazza.

We have spent years building the infrastructure behind online commerce, and one thing has become increasingly clear: the next leap will not come from giving merchants more software to operate.

It will come from software taking on the work.

That is why we built Athena.

To me, the most important thing about Athena is not that it can generate a store, create visuals or launch ads. It is that the same AI agent can stay with the business after launch, understand what is happening across the store and continue moving the work forward.

That only becomes possible when storefront, payments, marketing, logistics and operations are connected. Without that foundation, AI can assist with individual tasks, but it cannot truly run a commerce workflow from end to end.

We believe the way people interact with ecommerce software is shifting: from clicking through tools to expressing an intent, from managing workflows to reviewing results.

Athena is our first real step toward that future. It is not perfect yet, and human judgment still matters, especially around brand, budget and risk. But it is already doing real work inside real stores, and that is the standard we will keep measuring it against.

I am excited to hear what this community thinks, where Athena delivers and where it still needs to improve.

congrats! i love that Athena focuses on more than just website creation. i am wondering about integrations though. does it connect with popular accounting software, CRM platforms and email marketing tools, or is everything designed to stay within the Shoplazza ecosystem?

Congrats on the launch, Ryan! The marketing campaign automation looks solid. Can it handle seasonal promos like BFCM end to end?

Nice launch! The product-photo-to-lifestyle-creative workflow sounds especially useful for smaller brands that can’t organize a new photoshoot every week.

Been following Shoplazza for a while, great to see them going all in on AI. Congrats team!

Congrats! This looks especially useful for small teams where one person is doing merchandising, marketing, and operations at the same time.

This hits a real pain point. Listing optimization alone eats hours every week. If Athena handles that reliably it's already worth it.

Just tried the product. The fact that it can set up campaigns and not just suggest them is impressive.

Big congrats! The ecommerce ops space needed something like this. Bookmarking to test with my store this week.

Nice product

I build on the support side so treat me as biased, but there is one thing missing from that list and I think it is the interesting one.

Build, products, localized copy, discounts, shipping, ads, logistics. Every one of those creates customer messages, and Athena cannot see any of them.

The case I keep hitting: a shipping rule is wrong for one region, or a generated description promises something the product does not do. Conversion is far too noisy to show that for days. But three customers write in within one day. The inbox is the fastest error detection in commerce and it is the one thing nobody wires into anything.

Localized copy is the sharpest version of it. Athena writes copy in languages the merchant cannot read. The only people who will ever notice it is wrong are the customers reading it, and they will say so in that language, in an Instagram DM, not in a ticket with a subject line.

So the real question: does anything from those messages get back to Athena? If it changes shipping at 2am and the answer arrives as five DMs across three channels, the merchant is still the integration between the agent and reality.

@jeff_pz you said human judgment stays on brand, budget and risk. I would add the customer-facing surface, for a boring reason. It is the only one of those where a mistake reaches a person before it reaches a metric.

Very interesting! Wondering if Athena's spinning up a BFCM campaign with a few hundred bulk edits, is the merchant confirming each one or do you batch approvals by action type? Congratulations on the launch

Congrats! the concept of AI managing both setup and operations is impressive. i was wondering how Athena handles businesses with large product catalogues. if a merchant has thousands of SKUs, can it generate descriptions, categories and collections in bulk while maintaining consistency? how scalable is it for enterprise level stores?

Congratulations on launching Athena!

This sounds like a huge productivity boost for online sellers. i wanted to ask how localisation works. when Athena creates content for different countries, does it simply translate text or does it also adapt currencies, payment methods, cultural preferences and regional SEO? that could make international expansion much easier.

Congratulations ! the all in one approach is definitely appealing. i was curious about businesses with unique workflows or niche industries. how adaptable is Athena when merchants need custom shipping rules, specialised product options or industry specific operational requirements?

Greek goddess of wisdom and a Persian girls's name , that's Great =>
The connected-workflow part is the ambitious piece technically. Storefront, payments, shipping, and ad platforms are separate systems with separate failure conditions, not one database with a rollback. If Athena kicks off a launch sequence and the ad campaign goes live but the shipping configuration fails partway through, what happens to the parts that already executed? Is there a way to unwind a multi-system action, or does it just surface the failure and leave you to reconcile what already went live?

Congratulations on the launch!

This looks like a really interesting step towards making e-commerce much simpler for founders. one question i had is about migrating existing businesses. if someone already has a store on another platform, how much of their products, customer data and SEO settings can Athena bring over automatically? does it also preserve Urls and metadata during the migration? 

Really interesting approach. How much can users customize the store after Athena generates it? Can we make detailed layout changes through conversation, or would we need to edit the theme manually?

Does it just copy the layout or actually rebuild everything with its own logic?

Congrats on this launch! Really helpful!

Interesting product

Solo founder here. The idea of delegating store ops to an AI and just reviewing results sounds almost too good. Will test and report back.

Upvoted! How does pricing work for sellers just starting out?

@ryancheng Congratulations. And happy product launch.

Really clean execution. The scope here is ambitious, covering everything from listings to ads to analytics in one product.

Congrats to the team @ryancheng @jeff_pz . This feels useful for people who know their product well but have no idea how to structure an online store. Curious how much guidance Athena gives along the way.

I’m curious how much context Athena needs before it starts producing useful results. Can a new merchant simply describe the brand and products, or is there a longer setup process?

Congrats, team! Store creation is already getting crowded, but connecting the storefront to the actual work of running the business feels like a much harder and more valuable problem.

Hey Product Hunt 👋 I'm Lucas, co-founder of OpenBase.

We built this because we live in Claude Code and Codex all day, and kept hitting the same wall: the agents could keep working while we were away, but supervising them meant going back to a laptop. Every time. So we built the thing we wanted; a way to run our agents by voice, from anywhere.

You talk, the agents build, you approve the important calls out loud. Kick off a feature from a walk, steer it, approve the PR, all without a screen. It works across providers and syncs back to your machine so nothing's lost when you sit down.
It's open source (AGPL-3.0) and in private beta/waitlist today.

Try it out here: https://openbase.cloud

Good to know it fails safe rather than proceeding on a guess - that queue-and-resume behavior is exactly what I'd want if I'm the one walking around unable to babysit the connection. Thanks for the detail.

good, that's the right default. re-asking is a small friction cost that's obviously worth it compared to the alternative on something like a merge

Great idea, it’s the worst when you’re running an agent process and step away, screen goes dark and all work pauses. Best of luck!

Update: we've also just uploaded our YouTube demo to our launch, check it out here: https://www.youtube.com/watch?v=SsnUgItdae4

Sign me up, this is actually a dream! Hopefully I can find time to download this to try it. I like it because I used to drive around calling my human assistants to help me do work as I was driving long distances. This is really useful for people who drive long distances and are business people or people with work that requires computers. Maybe even artists can use this like music industry people.

The idea of kicking off a feature while walking and coming back to a ready PR sounds both extremely useful and slightly dangerous :))

This is a smart solution — finally a way to supervise AI coding agents by voice from your phone without being glued to a laptop.

This is the hard part and you're putting it front and center: which calls the agent makes alone vs. which ones it asks about out loud.

We ship agents in a very different domain — they message customers and take payments for small businesses — and the rule we landed on after getting it wrong is: plan freely, execute visibly, but always ask before anything that touches money, anything that goes out to many people at once, and anything that changes configuration.

The trap we hit: we tried letting the agent tune its own thresholds, with a guard scoring the outcomes. It optimized straight into the failure mode — a safe, wrong answer scores beautifully, because it generates no escalation and burns fewer tokens. We killed the autonomy and kept the human in the loop.

Curious how you think about that when the approval is by voice, where "yes" is a very cheap thing to say.

I'm non-technical and ship almost everything through coding agents, so the part that would decide it for me isn't approval, it's verification. My recurring failure isn't an agent doing something destructive, it's an agent telling me a change shipped when it actually landed on a branch that had already been merged. Does Openbase report back from the actual repo state after the fact, or only from what the agent says it did?

this solves a real problem, I live in Claude Code all day too and the "still tied to a laptop to babysit it" gap is exactly right. question that's more about reliability than the approval-safety angle everyone's asking about: what happens if you lose connectivity mid-flow, say you're walking and your phone drops signal right as an agent is waiting on a voice approval. does it just pause and wait indefinitely for you to reconnect, timeout and roll back the pending action, or keep going with whatever the last confirmed state was?

Love the idea! I even hoped for something quite similar about a week and a half ago while at work. The 'no screen, no desk' part hit me harder than you probably intended, because I'm not a developer.

I work in a bakery. Factory rules mean my phone stays in the locker room, and my hands are busy for the whole shift. In the week before I launched my own app, some of my best thinking happened while I was working, ideas, prompts, things I wanted to try, all of it fully formed in my head and completely stranded until I clocked out or took a break. I kept thinking how good it would be to just talk it into a headset and have the work already moving by the time I got home.

The honest reason I haven't tried agents yet is different from the reason you're solving for. It isn't that supervising pulls me back to a laptop. It's that I don't understand them well enough to trust one unsupervised, and I'm afraid of something getting deleted or overwritten without me noticing until much later.

So my question is about the approval layer. When an agent is working and I'm not looking at a screen, what actually stops a destructive change from going through, and how much does it explain out loud before it commits? For someone like me, that answer matters more than the speed.

Congratulations on the launch, Lucas. Voice-based supervision is an interesting answer to the problem of agents working asynchronously while humans remain tied to a screen. How do you handle approval boundaries for sensitive actions such as commits, pushes, and pull requests?

How you handle approvals for changes that could affect multiple files. Is there a way to quickly review the important parts before saying yes? I'd also love to see short voice summaries of what each agent finished since the last check-in.

Congrats on the launch. The voice layer feels strongest as a triage/approval surface, not a replacement for review. One thing I’d want to see in the flow is a review-at-desk escape hatch: before any multi-file change, the agent summarizes files touched, tests run, risky operations, and what still needs a screen. Then approving later should be as easy as approving now.

the safety word answer above covers accidental triggers, but what about a garbled connection mid-approval, like walking through a spot with bad signal while saying yes to a PR merge? if the transcription comes back partial or mangled, does it fail closed and ask you to repeat, or is there any path where a mis-heard word could get treated as an approval for something you didn't actually confirm

Honestly the voice steering thing is kind of wild, I was telling an agent to fix a bug while walking the dog and it just committed the patch. Felt like cheating honestly.

Congrats on the beta! Getting to approve a PR out loud on a walk instead of hunting down a laptop is a great use of voice as an interface.

I'm curious what stops a sensitive approval from firing on someone else's voice, a recording, or an accidental phrase match before it reaches a real repo. That's the piece of the voice layer I'd want locked down first.

Any plans to let teams create reusable voice workflows for common development tasks? That could save a lot of repeated instructions.

It would be super helpful to see a map view alongside the swipe deck so I can visualize where each listing sits relative to my target neighborhoods and commute. Maybe a small toggle in the corner to switch between card stack and map mode. Would make narrowing down the geography way easier without losing the quick-browse feel.

A commute-time filter would be huge. Plug in where you work and it shows you listings under your max door-to-door time on Muni or BART, not just the rent number. Right now I still have to mentally cross-check every place against how long it'll actually take me to get to the office.

the swipe-and-keep format is a great fit for this, apartment hunting really is just a matching problem dressed up as a spreadsheet. one thing I'd want to know before trusting it: does Criblist re-check that a listing is still live before showing it to me, or is there a chance I keep something that already got rented out an hour earlier? SF listings move fast

How do you plan to handle sourcing and data consistency from Craigslist, given their historical issues with scraper bots and varying listing quality?

Nice work Yahia. I will try to integrate Context.dev for Commercial Real Estate again.

As a student, the struggle is real. How often do you find listings that aren't duplicated across multiple sites?

Hey Product Hunt 👋

I'm Musharof, founder of Pimjo, and today we're launching Aymo AI.

Like a lot of you, my team and I were paying for ChatGPT, Claude, Gemini, and Perplexity separately. Multiple subscriptions, multiple tabs, and no way to share anything, since every tool charges full seat price even for members who barely use it. It felt broken, so we built the tool we wanted to use ourselves.

Aymo AI is an all-in-one AI platform that puts every leading model in a single workspace, a solid AI aggregator built for teams. Team members run on shared credits instead of per-seat fees, so you're not paying full price for someone who logs in twice a month. There's a generous free plan to start, plus affordable paid tiers as you grow.

✨ KEY FEATURES

Multi-model access: use all the top AI models, including GPT, Claude, Gemini, DeepSeek, Grok, and 40+ more, in one place. Switch between them mid-conversation without changing tabs or juggling logins.

Compare mode: run a single prompt across multiple models side by side, see how each one answers, and pick the best result for the job.

Team collaboration on every plan: share chats, assign roles, and use shared team prompts, project context, and reusable workflows together, all at no extra cost.

File analysis: upload PDFs, docs, sheets, or code and get accurate, context-aware answers in seconds, no copy-pasting required.

Chrome extension: bring Aymo AI with you anywhere on the web, so you can ask, summarize, or generate right where you're working.

Free AI tools: a growing set of extras like a PDF summarizer, email writer, and marketing helpers, free to use and built right in.

AI image generation: turn a text prompt into visuals right inside your workspace, no separate design tool needed.

Live web search: pull real-time answers from the web with sources cited, so you get current information you can actually verify.

Bring your own API key: on the Business plan, connect your own provider keys and unlock unlimited usage at cost, with no message caps.

Privacy first: All chats and uploads are encrypted and never used for training.

🎁 Exclusive Discount for Product Hunters:
We are offering a special discount for the Product Hunt community (limited time). No coupon code required!

✅ Useful Links and Resources

• Aymo AI Website

• AI Tools

• Compare and Chat with Multiple AI Models

• Prompt Library

• AI Models

• Roadmap

• Documentation

• Pricing

• Downloads

• Discord Community
  

  There's a lot more in the pipeline. Your feedback and support are appreciated! 💜

shared credits instead of per-seat pricing is the right instinct for teams where usage is lopsided. curious how you handle the flip side though: with a shared pool, what stops one heavy user from burning through the whole team's monthly credits by day 10, is there a per-member soft cap or just visibility into who's spending what

Musharof, the flat rate you gave Dilip (1,000 tokens equals 1 credit regardless of model) is the most interesting decision on this page, and I am not sure it survives contact with a real team.

If a light model and a reasoning model cost the user the same credit, the rational move is to always pick the most expensive one, which works against your own margin. Shared credits then turn one heavy user into everyone else's problem, and the admin into the person policing it.

I sell against subscription sprawl in my own market, and what the buyer wants is not the lowest bill, it is a predictable one. Are there per-member caps and visibility into who is burning the pool?

@musharofchy you know i'm a fan and an early user. i like this app!

So this is a Q&A, not an agent system

A big upsell for many teams would be to not just replace AI subscriptions but integrate with all their context - existing docs, emails, etc. Basically integrate with their full context

Microsoft are doing that with Copilot in enterprise and if you can do that for smaller teams, you could win big

I love the design of Aymo but I am still exploring and I am still not sure about credits, particularly how it is distributed between the light and advanced reasoning models.

Been using Aymo for a bit and the pitch is real: Having GPT-5, Claude, and Gemini in one place and being able to compare answers side by side instead of tab-hopping is the part I didn't know I needed.

Confetti from me. Nice launch.

Replacing 5 separate AI tabs with 1 workspace sounds like a dream. Congrats on the PH launch @musharofchy

Definitely a great interface to communicate with all these LLM's. Try it yourself!

the 30 day trash grace period is a smart touch, most people won't trust an AI email tool until there's a real undo. one thing I'm curious about - once something gets filed to Archive, does it stay just as searchable as normal gmail archive, or does the LLM sorting change how findable stuff like old invoices/contracts is later?

Sender history is a strong signal but it breaks in one spot that's bitten me: a reply to a thread I started, from an address I've never opened before, looks statistically identical to a cold email. I run a lot of outbound and the messages I most need to see are exactly those first replies from strangers. Does PureBox weight "this is in a thread I sent" above sender history, or is the classification mostly per-message?

Shaked, the origin story is the strongest part of this page, and review-first reads like a decision you made for yourself rather than for the launch.

One case nobody raised: a small clinic inbox is full of patients writing about symptoms and lab results, so your first scan is processing regulated data. The question there is not retention (Chalermpon and Gal already covered that one), it is who counts as the processor. That inbox owner needs a signed agreement covering you and whichever model provider you call, otherwise they cannot connect at all.

Is the provider behind the sorting one you could sign that with? Solo therapists have the worst inboxes I have seen and almost no tool they are allowed to touch.

the "nothing moves until you approve" framing plus the 30 day undo window is the right way to earn trust with something touching a real inbox. one thing I didn't see covered - if someone connects, tries it out, then revokes Gmail access later, is there anything left behind on your end from the scan (cached content, summaries, sender history), or does disconnecting clear it out completely?

This is a very timely and useful solution.

I used to create new accounts so I wouldn't lose anything important, and I had to unsubscribe from unnecessary newsletters.

@shaked_i Congrats on the launch! Since this is scoped to Gmail right now, is multiple account support on the roadmap, like handling a personal and a work inbox in one place?

Congrats on the launch! The three-bucket plus reasoning approach is a smart way to keep trust intact, most inbox cleanup tools break it the moment they act silently on something that mattered.

Before I'd trust it with my own Gmail, I'm curious what happens to an email's content after it goes through the model to generate the category and explanation, whether it's discarded right after the suggestion is shown or logged somewhere on your end. That distinction would decide whether I connect a real inbox to it.

I honestly have around 5k of unread emails, but I like the fact that nothing gets deleted automatically. How long did it take before you were comfortable relying on your own product?

This is clever. Does the AI learn from rejections too, or just from what you approve?

Hey I really want to use this! My email box is sooooooooo full! I am afraid I will delete something important.

Review-first is the right call. Most inbox AI I've tried loses my trust the first time it quietly archives something that actually mattered. How do you handle the gray-zone stuff, like a cold pitch that's genuinely relevant versus noise? Is the review queue learning per-user, or are the rules more global at the start?

Hi Product Hunt! Arnav here, building BrainFeed with my co-founder Aasrith.

I try pretty hard not to lose time to feeds, but they usually win anyway. When I have a few free minutes, I inevitably end up on YouTube Shorts, and it feels terrible when those minutes turn into hours. Meanwhile, the things I actually want to learn just sit in a "saved" folder, never to be opened.

Quitting these apps sounds simple, but it doesn't kill the time and urge to scroll. Aasrith left Instagram and just ended up on TikTok. We realized scrolling isn’t the problem; what you scroll is. So, we built something worth scrolling instead.

You tell BrainFeed what you want to learn, or drop in an article or video you’ve been avoiding, and it converts them into short cards you can finish while standing in a queue. You can also see what other users are learning and join their goals. Instead of scrolling and forgetting, it uses spaced repetition to help you actually retain the insights.

We are officially live on the App Store! The best way to try it right now: create/join 3 goals, paste in one link you’ve been meaning to read but haven't got to, and see what it turns into.

We’d love to hear your thoughts, feedback, and whether BrainFeed earns a spot on your home screen.

I just keep doomscrolling on Instagram. Does BrainFeed have topics such as finance, investing, and psychology ? Could it build my feed around those ?

the reframe here is smart, scrolling isn't really the addiction, it's just the easiest habit to fall into when you're bored. question on the spaced repetition part - if I drop in a one-off article I've been avoiding, does it actually resurface cards from that specific piece a few days later, or is spaced repetition only tied to the ongoing goals? curious how it decides what's worth bringing back

Love the concept! Any plans to launch the android version soon?

Been using BrainFeed for a few weeks now and it helps expand my knowledge in areas I have genuine interest in. It's always a better alternative than doom scrolling!

Congrats on the launch, guys!

Dropped in a 30-minute YouTube video I'd been putting off and it actually broke it into manageable cards I could get through on my coffee break. The spaced repetition part is what sold me, I remember more after one session than I do from skimming a dozen articles.

Hi Product Hunt! I'm Aasrith.

One of the things we cared a lot about while building BrainFeed was making AI generated learning feel transparent.

Our cards include source links, so you can see where the information comes from and explore the original material whenever you want.

We want to push AI as far as it goes in personalising learning, but it shouldn't be a black box.

Would love to hear what you think!

the chat safety thread here is thorough, but the image generation feature seems like a separate risk surface nobody's asked about yet. text filtering and image filtering are pretty different problems, what stops a kid from prompting for something inappropriate through a drawing request that would never make it past the text filter as a sentence

Lucas, the safety alert layer is the part I would stress test hardest, and it is the one thing in this thread nobody has pushed on.

Routing a concerning message to the parent is right for most families and wrong for exactly the families the alert exists for. In the 13 to 15 profiles, the adult being notified is sometimes the reason the child said it. That is why adolescent confidentiality is a separate rule in clinical settings rather than a parental setting, and a detector with one destination has no answer for that case.

Is there a second path for the older profiles, where a serious signal can point the child toward an outside resource alongside the parent? Whoever set the threshold that fires an alert made a clinical call, so it is worth treating it as one.

That's a thoughtful way to take the feedback - a separate interaction model for the youngest kids rather than just dialing down the same one. Limiting live voice for that age group specifically makes sense to me, since voice is probably what makes it feel most alive. Good luck with the launch.

Congrats on the launch!

I'm intrigued by the age-adapted answers, how do you handle situations where kids might ask sensitive or complex questions that require nuanced responses?

I like your UI design. I think my children will love it; adding a bit more animation would make it even better.

For a young child using voice chat, one question will eventually come: "Yoggi, are you my friend?". How do you handle that kind of question, especially in terms of boundaries?

Congrats on the launch!

the emotional-dependency safeguards you described for teens make sense, but I think the 3-5 end of the range is a different problem, not the same one scaled down. a kid that age doesn't reliably distinguish "talking to a program" from "talking to something alive," especially with voice chat making it feel like a real back-and-forth. is there anything specifically aimed at that youngest bracket to keep reinforcing "this isn't a person," or is the current design tuned more toward the dependency risk that shows up with older kids?

I've had conversations with parents and they told me that they want for their kids to learn AI without becoming dependent on it. How did you test whether the conversations actually felt natural for children?

One thing I'd love to see is a shared family dashboard where parents can review conversation topics their kids explored with Yoggi that week. It would make the parental controls feel less like a black box and help families start real conversations offline based on what their children are curious about.

hmmmm i am struggling to see the use case of this for kids. Unless its meant to teach kids how to use AI tech so it prepares them for the future.

Big brother here, and I think this is a genuinely important idea. ChatGPT and Claude can sometimes be too eager to give children the answer they want to hear, and without the right context or boundaries, that can have a negative effect instead of helping them.

My 11-year-old sister has just started using AI tools, and I was recently given the task of figuring out how we could limit and supervise that safely. Right now, it can be almost impossible to understand what a child is doing, asking, or being told. Knowledge is a privilege, but access without age-appropriate guidance is not always harmless. I'm really glad I found Yoggi, we'll definitely try it. Rooting for you! :)

Congrats on the launch! Age-adapting the AI's tone from a 3-year-old to a 15-year-old is a genuinely hard problem, most tools I've seen just pick one register and hope it works for everyone.

I'm curious how long a child's conversation transcripts get kept around for the weekly summaries and safety alerts, and who besides the parent can pull up that history once it's stored. That retention detail is the part I'd want spelled out for something built around kids.

Hey, congrats - looks exciting! ☺️

Are your story builders algorithmic or can they be LLM driven? A lot of writers, when they start working on a book, keep a "fact sheet" or timeline that contain all of the underlying facts that drive a story that they keep updated as they write actual words. In the same way, in RPGs, the scenarios that some people publish contain the "storytelling guardrails" that define a specific adventure, but then the adventure "plays itself" in realtime.

I can imagine how some people would have mind blowing ideas and some instructions on the "theme" but they wouldn't necessarily want to do the actual writing. Or maybe they would just enjoy it being a bit different for every player (or - players could pick different PG ratings and a 13 year old readers experience could be more vanilla compared to a 40 year old player/reader).

Also - integrating Eleven Labs or a similar platform to have a voice narrator would be a game changer.

The branch editor being separate from the main story structure is smart — one of the things that kills branching story tools is when navigation gets overwhelming before you have even written much. Wondering how you handle the overview at scale: once a story has dozens of branches across multiple paths, is there a way to see the full tree at a glance, or does the editor stay page by page and rely on you knowing your own structure?

"Books as engaging as games" is the right ambition. Most interactive fiction platforms look like 90s text adventures or require game dev skills.

Nice Mark! Love this kind of idea. Allowing pple to enjoy interactive stories change the game and boost engagement amazingly. Wish you all the best on this launch!

the "we're not trying to replace authors, just remove the technical barrier" framing lands well, especially compared to tools that lead with automation first. haven't seen anyone ask about the business side yet though - once someone's put real time into a branching story on here, is there a way for them to actually earn from readers, or is Forgeon more of a free hobbyist/portfolio platform for now? curious whether that's part of the roadmap or intentionally out of scope.

Great app! Tell me, is AI capable of writing a complete book based on my preferences?

One of the most interesting launches today! I believe the upfront-generation choice is smart for consistency, you can check the whole book as one object before anyone reads it. You mentioned the plan is to let readers bend the story mid-read while the AI keeps track of world and prior events (and that reconciliation is where interactive fiction usually breaks down). Does it re-ground each turn against a fixed world-state doc?

branch editor being separate from the main story structure is smart — one of the things that kills branching story tools is when navigation gets overwhelming before you have even written much. Wondering how you handle the overview at scale: once a story has dozens of branches across multiple paths, is there a way to see the full tree at a glance, or does the editor stay page by page and rely on you know

the monetization answer is a good sign, a lot of creator platforms bolt that on way too late. now that authors can actually charge for their books, how does discovery work on the reader side? with branching stories being harder to judge from a thumbnail than a normal book cover, is there anything like sample chapters or a preview of the first few choices before someone pays

Congrats on the launch! I tested the homepage as a completely new visitor and one thing tripped me up: the page opens with the Hound of Eldram description before clearly explaining that Forgeon is a platform for reading and creating interactive books.

For the first few seconds, I thought I’d landed on one fantasy title rather than the product itself. Moving the short Forgeon explanation and separate “Read” and “Create” actions above the featured book could make the value much clearer.

Happy to send you the screenshots and test the full reader and author journeys if that would be useful.

Hey Product Hunt,

Pulse turns the dead space around your MacBook's notch into a Dynamic Island.
Hover it to open, scroll sideways to switch cards.

📋 A clipboard that knows what you copied
- Copy #FF5733 → you get the swatch.
- Copy a screenshot → a thumbnail.
- Copy a link → the host, not 200 characters of UTM.
- Filter by Links / Colors / Images / Code.

🎵 Music from anything
Spotify, Apple Music, and any browser tab: YouTube, YT Music, SoundCloud with artwork and scrubbing.

📅 Meetings
A countdown in the notch that pulls the Zoom/Meet/Teams link, so joining is one click.

🌤️ Weather, Connected devices, CPU, RAM, network
Everything you currently Cmd-Tab or open Control Center for.

The detail I care most about is invisible: the window never animates. It's a fixed transparent panel and SwiftUI springs the island inside it; animating an NSWindow frame can't hold 120fps, animating a view layer can.

It's Native Swift, no Electron. No account, no telemetry. Clipboard history stays in RAM and never touches disk.

Free until 28th July 2026.

One heads-up: Pulse isn't notarized with Apple yet, so macOS will ask you to approve it once on first launch

What would you want your notch to show? A downloads shelf is next on my list.

Great launch! Do you guys filter on content? Or is the ConcealedType check the only line? Could it be that a fair number of copies that shouldn't be in history still slip through the 2Hz poll?

The copy-time classification is the part I keep thinking about. Deciding what a thing is once, at capture, so the row can carry a swatch or a thumbnail or just the host — that's the difference between a clipboard history and a list of strings you have to re-read. And the guard that stops every six-digit order number turning into a color swatch is exactly the kind of detail that only shows up after you've watched it get it wrong a few times.

The deadline-vs-tick point is the one I'm stealing. Anything that derives elapsed time from a running counter quietly breaks the moment the lid closes, and it's the class of bug that never reproduces on the machine you're debugging on. Good that the battery and calendar cards already work that way.

Native Swift, no account, history that dies with the process. This is put together the way I wish more Mac utilities were.

the memory-only clipboard history with the ConcealedType skip is a genuinely good default, not just a privacy footnote. question that's more about my own setup - I mostly work with an external monitor as primary and the laptop lid open off to the side. does the island only live on the built-in display where the actual notch is, or can it show up on an external screen too for people who rarely look at the MacBook screen itself?

The clipboard card is the clever bit for me. Showing a color swatch, image thumbnail, or cleaned host instead of raw clipboard text makes the notch feel genuinely useful.

the unnotarized heads up is honest of you to call out upfront, but it's also exactly the kind of prompt that scares off non-technical users, especially for something polling the clipboard continuously in the background. is notarizing it on the roadmap, or is that waiting until after the free period ends on the 28th?

Congratulations on your launch, @aayu5hgit ! I really like the copy history functionality. On macOS, there's usually no built-in way to keep the last n copied items, so this is a really useful feature.

The UI looks great, and I like the way everything is categorised as well.

One suggestion: is there a way to customise the view? For example, it would be nice if users could choose which tabs to show or hide, or configure how many tabs are displayed in the notch.

Love the concept, the click feel on macOS is so sterile by default. One thing I'd love is per-key volume control so I can turn down the spacebar and shift without muting the letters, makes it much easier to find a nice balance in a quiet office.

Finally got that satisfying clicky feel on my silent Mac keyboard. The clack sounds are surprisingly realistic, makes typing feel way more fun without buying new hardware.

respect for answering the Input Monitoring question directly instead of brushing it off. but I don't think Little Snitch actually resolves it - that catches network egress, not what happens locally, so it wouldn't tell you anything about whether keystroke content is being read or logged on-device, only whether it's phoned home. for something with that permission level, an open source core (even just the input-handling piece) seems like the real trust boundary, not a network monitor. not knocking the app itself, the sound pack idea is genuinely fun, just not sure I'd install this on a work machine as-is.

the Input Monitoring permission is the part that'd give me pause before installing this on a work machine - that entitlement can technically see every keystroke system wide, passwords included, even if KeyOpera itself only cares about timing. is there anything like an open source core or a network monitor log people can check to verify nothing's actually being read or sent anywhere?

Love the clicky feedback on my M1 MacBook, feels way more satisfying than the butterfly keys I came from. One thing that would push it over the top for me: per-app sound profiles, so I could mute the clack in Slack and Zoom while keeping it loud for coding in VS Code. Keep up the great work.

Finally got that real keyboard feel on my MacBook without buying extra hardware. The sound is oddly satisfying during long writing sessions.

Looks like a great design! I'm an Android user though. Is it available for Android as well? 🤔

I like the simplicity, and the design is very clean!

Will people be able to integrate with other productivity apps that are more desktop based?

genuinely charming idea, the fireworks + yatta moment sounds like it'd actually make finishing a task feel good instead of just crossing off a box. since everything stays on-device and you can't see the tasks yourself, what happens if someone gets a new phone - is there any local backup/restore through iCloud, or would switching devices mean starting the list over from zero?

the three-bucket simplicity is refreshing, most to-do apps let you set up so much structure that maintaining the structure becomes its own task. curious about "Someday" specifically though - is there any gentle nudge to revisit it occasionally, or is it fully on you to remember to check back? that bucket is usually where good intentions go to be forgotten in every app that has one.

@wei_b0 - This looks amazing, any plans to build a similar app for Claude and other AI Platforms?

Loving the choice to lean on the existing CLI session instead of asking users to generate yet another API key, lovely detail that makes a tool feel trustworthy:)

the no-Chrome no-Keychain angle is nice but the OTA auto-update piece is the part that'd actually worry me a little - an app that's already got a live coding session in view and can push its own updates is a decent supply chain target if the update channel or signing ever got compromised. is there any code signing/checksum verification on the update payload before it installs, or is it more of a basic download-and-replace flow right now

Privacy-first design makes sense for a dev tool — anything touching an active coding session should be careful about what it asks for. The no-Keychain, no-browser-cookie approach is reassuring. I use a mix of AI coding tools across projects and the comparison question comes up constantly: when you are running both Codex and something like Claude Code in the same workflow, there is no easy way to see which got used for what and track where the actual productivity gain is. Is the session model specific enough to Codex that adding a second provider would need a separate app, or is the architecture flexible enough to slot in another CLI session alongside the Codex one?

the no-Chrome, no-Keychain, no-API-key approach is a genuinely refreshing default for a tool this small in scope, most usage trackers ask for way more than they need. one thing I'm curious about since it's riding on your existing CLI session - does the polling itself count against anything on OpenAI's side, like a second process making periodic calls with your session credentials showing up as unusual activity, or is it reading something more like a local cache rather than actually hitting their API each refresh?

Hello,

I built PlayingFild because every productivity extension I tried had the same problem they only understood websites, not what I was actually doing.

If I was watching a programming tutorial on YouTube, I'd get blocked. If I was procrastinating on Reddit, it looked exactly the same as researching a bug. Eventually I got frustrated enough to build something that understands page content instead of just URLs.

As a beginner developer with dyslexia (and probably ADHD), I realised punishment wasn't helping me focus. Blocking everything just made me uninstall the extensions. So PlayingFild takes a different approach: it rewards focus, earns you break time, automatically organises your tabs, and quietly cleans up the browser instead of constantly blocking everything.

I do wish it could "read my mind" sometimes, like if I want to use unproductive tabs for a break when I actually need one but stop me from being unproductive when I don't. I know that's a very ambitious, probably impossible goal and hard balancing act but that's the goal of PlayingFild.

I would love feedback, good or bad. Every feature in PlayingFild exists because I ran into the problem myself, and I'm still actively improving it. If something feels confusing, missing, or annoying, let me know.

Thanks,
>=PlayingFild's dev

This looks like a useful productivity tool. The context-aware tab management is an interesting approach. How does it handle tabs from different workspaces or projects? Does it group by domain or by user-defined categories?

the event-driven + per-site caching design makes sense, that's the right way to keep it cheap. one edge case - what about a tab that's a single-page app where the URL never changes but the content totally does, like a webmail inbox that goes from empty to a long work thread? does the cached classification just stick until you close the tab, or is there some heuristic for detecting that kind of drift

rewarding focus instead of punishing distraction is the right call, the uninstall-when-blocked pattern is very real. practical question though: you said classification runs continuously across every open tab, not just the active one. on a laptop with 20+ tabs open all day, does that show up as a noticeable battery or CPU hit, or is the on-device model light enough that it's a non-issue in practice

rewarding focus instead of just blocking is a much better fit for how people actually slip into procrastination, congrats on shipping it. one thing I'm trying to square - you mention a global model weighted by what other users have classified, but also that raw page content and personal text never leave the browser. what's actually feeding the global model then, is it just a productive/unproductive vote tied to the domain, or something more granular than that?

localisation is one of those things that always takes way longer than it should, so this is a welcome idea. curious how it handles plural rules and gendered strings though - languages like Arabic or Polish have way more plural forms than English, and that's usually where automated localisation tools fall apart and produce grammatically broken UI text. does AppUFO handle that at the ICU/stringsdict level or is it more of a straight string-for-string translation?

I'm wondering if you've seen an increase in users from new markets after localizing with your tool.

The App Store context pull is a smart move — working off bare string keys is where most localisation tools produce plausible-but-wrong translations. One thing I would want to check before wiring this into a CI pipeline: does AppUFO support the .xcstrings (String Catalog) format that Xcode 15 introduced, or is it still expecting the older .strings and .stringsdict files? That migration path is usually where these tools either save or cost extra time on existing projects.

Pulling context straight from the App Store listing instead of asking translators to work off bare keys is a smart shortcut - didn't realize it went that route. That should cut down a lot of the ambiguous cases without needing a whole review workflow.

congrats on the launch, localisation is exactly the kind of chore that eats a weekend right before you want to ship. one thing I'm curious about beyond the plural rules question already asked - the same source string sometimes needs different translations depending on context, like "Save" as a button vs "Save" as a noun in a settings label. does AppUFO give translators any way to see or add context for a string (comments, screenshot, surrounding key names), or is it working off the raw string key alone?

Hey Product Hunt!

I'm Charan. @vidushee_geetam and I built Pawesome because AI made writing cheap but didn't make inbound any cheaper.

You can generate a blog post in twenty seconds. Then you spend the rest of the week on everything else - making it sound like your company instead of the internet's average opinion, structuring it so search and LLMs can read it, sticking a form on it, tagging the click, and guessing which post earned the demo. That's five tools, and none of them know what the other four know. We got tired of being the glue.

So Pawesome starts with memory instead. You feed it your site and a handful of docs once, and that becomes your Company Brain: product, ICP, voice, proof, objections. Everything else runs off it.

Content Engine writes blogs, landing pages and social from that Brain, with SEO and AEO built into generation and a brand and fact check before a draft reaches you. Lead Collection gets you a form in minutes and auto-UTMs every submission back to the post that earned it. Visibility audits what GPTBot, ClaudeBot, Google and the rest can actually read on your site. Whatever performs feeds the next brief.

Honest bit: We're early. Free to start, no card, and a waitlist instead of an upsell when you hit the limit. We'd rather onboard slowly than badly.

If you try one thing, run the visibility check on your own site and tell me whether the score matched what you expected. Those disagreements have taught us more than anything else so far.

Thank you. I'm around all day. Looking forward to interesting questions and comments.

A Slack integration would be huge, getting pinged the moment a high-intent lead lands instead of having to check the dashboard all day. Otherwise loving how the company brain keeps the content on-brand.

Lead collection + Content creation in the same platform is such a great combination. I just tried out the AI visibility and SEO scores for my website and I did get useful feedback that I can implement on my website right away. However, I can see that SEO is only tracking the content part of the page. Any plans in tracking page speed and performance metrics?

Congrats on the launch, Charan and Vidushee. I ran the AI Visibility check on my own site and it caught real things — it knew my homepage isn't long-form content and shouldn't be graded like an article, and the technical fixes were specific (JSON-LD, single h1, canonical). Most tools just throw a vague score at you, so this actually felt useful.

One small, friendly note as someone building in the same space: the Page SEO tab has a lot of good stuff, but in the first 10 seconds it's a little hard to know where to start. If the top showed just the 1–2 highest-impact fixes first, and let me open the rest below, I think new users would feel the value faster and stick around. Honestly just a polish thing — the depth underneath is already strong.

@vidushee_geetam Congrats on the launch! The visibility check stood out to me, especially being able to see what Google, GPTBot and ClaudeBot can actually read on a site. Does it show the exact pages or sections each crawler is missing?

Hi Product Hunt! 👋 I'm Alex, founder of Via.

Thanks so much for checking us out.

Like a lot of people here, I didn't need another to-do list. I needed a plan that could survive real life.

As someone with ADHD, planning has always been hard for me. Not because I couldn't focus, but because the hard part was knowing what deserved my focus next.

Whenever a free block of time opened up, I'd ask myself: "What's the best use of this time?" I'd scan my task list and by the time I'd decided, half the time was lost. Then a meeting would run over or an urgent request would land, and by lunchtime the schedule I'd carefully built that morning was already obsolete.

That problem is why Via exists.

Instead of asking you to manually organise your day, Via starts with a simple brain dump. Capture everything on your mind, and our AI builds a realistic schedule around your priorities, deadlines, available time, and energy.

When your calendar changes, Via rebuilds your schedule instantly, so you always know what to work on next without rethinking your entire day.

We designed Via for people whose calendars don't belong entirely to them: freelancers, consultants, coaches, agency owners, founders, and small teams whose days are shaped by meetings, interruptions, and changing priorities.

A few highlights:

🧠 AI scheduling that automatically adapts when your day changes
📅 Works alongside Google Calendar and your existing bookings
⏱️ Turns those 30 to 60 minute gaps between meetings into genuinely productive time
✋ Keeps you in control. Move, edit, or manually change the schedule whenever and as much as you want

We're only at the beginning, and launching on Product Hunt is a huge milestone for us.

I'd genuinely love your feedback: Does this solve a problem you experience?

I'll be in the comments all day answering questions. Thanks for helping us make Via better. 🙏

This is one of the most useful Apps to keep a track of your schedules I’ve ever come across!

Just drag and drop content into the AI and the AI builds the tasks and notes for you - having ADHD and accessing a bunch of random information, VIA is an absolute blessing to organise my workflow. The AI is efficient - but can be better while parsing!

I’ve connected with the Founder @alex_hamilton7 and he was absolutely stellar in walking me through the App, the progress and he was absolutely taking copious notes on feedback - the great thing is that I’m seeing some of the feedback being implemented too!

I feel the task manager can have some features around learning from priorities - they do have a label system and the AI tracks to e priorities - but we should be able to train the model!

Just one gripe - the browser is better than the App currently, and the team is working on upgrades - so I’m eagerly waiting for that!

All in all - I see myself using this all the time - to just organise my thoughts and get task reminders!

Via is pretty new, but I’ve been using it for a week or two and enjoy the whole concept of it. It’s still actively being improved upon right now.

My favorite part is how it helps schedule out all of my tasks in my brain dumps!

VIA is supporting me to prioritise multiple projects and clients into one central Action Plan. This helps minimise overwhelm & fear that I have forgotton something important. The voice activation, on the move is brilliant.

Can I also dumb in emails?

Finally gave this a spin and the brain dump to schedule thing actually works. Threw a messy list at it and it slotted everything into realistic time blocks without me babysitting it.

I have only been using this for a short time, but can already sense this will be an invaluable tool for me. I would like to see a desktop version in the future and i realize this is new and has only just begun its journey. I am looking forward to seeing what Alex and the team have up their sleeves.

I highly recommend Via. Constantly improving, MCP integration is amazing. Alex is very accessible, they agreed to push the development of the IOS + Apple Watch version on my suggestion and it really starts to be amazing and changing my life!

I love the brain dump feature and the points you get when a task is completed. Two very useful things for my ADHD. The brain dump has been very useful in preventing distractions that suck you into procrastinating and the points are a good to keep dopamine kicking on very long tasks that take days to complete.

This is a great product. Already tried it.

Hi Product Hunt 👋

I'm Helge, one of the creators behind Maptoolkit.org.

Until now, getting beautiful, professionally styled maps for web or mobile apps meant paying expensive enterprise providers like Mapbox or Google (we've actually been operating as one of those premium providers in Europe for years). Free options, on the other hand, usually offered very basic cartography.

We want to change that. Starting today, our worldwide, enterprise-grade cartography is available for free under the Maptoolkit Community License.

WHAT MAKES IT DIFFERENT

• Zero Friction: No API keys, no credit cards, no request limits. Just drop in our style URL and ship.
• Outdoor & Travel Focus: Built-in styles for Hiking, Cycling, and Winter, alongside global hillshading, contour lines, bathymetry (water depths), and 3D terrain.
• MapMaker Editor: Customize styles easily or generate a matching map color palette straight from your brand logo or image - https://mapmaker.maptoolkit.org
• Fair Terms: Completely free for open-source, non-commercial, and indie/commercial projects under €1M annual revenue.

INFRASTRUCTURE & PERFORMANCE

Weekly automated OpenStreetMap updates build global PMTiles files for map, contour, and elevation data. Hosted on our Kubernetes cluster in Germany and Finland, and cached across 350+ Cloudflare edge locations worldwide with a 90–95% cache hit rate.

This exact infrastructure already serves over 1 billion requests per month to enterprise customers like Red Bull or Deutsche Bahn. Now it powers our free community tier.

TRY IT IN 2 MINUTES

Use our AI prompt guide to generate a working map app instantly:
https://docs.maptoolkit.org/how-...

I’d love to hear your thoughts, feedback, and questions!

PS: Why is it free? Honestly, two reasons: Visibility for us beyond Central European countries, and: We build upon MapLibre and OpenStreetMap, and it is time to give something back.

love that you skipped the api key dance. one thing that would be a huge win for indie projects: a simple way to self-host or export a snapshot of a specific region so i can ship an offline-friendly demo without spinning up my own server.

Hey Product Hunt 👋

We’re excited to share the next evolution of AlsonAI: animated stories.

AlsonAI started with a simple idea: anyone should be able to turn a meaningful story into a beautiful illustrated book. Families, students, educators, healthcare teams, and youth programs have used it to create personal books, classroom projects, therapeutic stories, and keepsakes.

But we always wanted the stories to move.

For a long time, we had to deprioritize animation because the technology was not ready for the kind of storytelling we cared about. Characters changed too much. Visual style drifted. A scene could look impressive, but it did not feel consistent enough to turn someone’s story into a real animated experience.

That has changed.

With our new video pipeline powered by Gemini Omni, AlsonAI stories can now become animated scenes, book trailers, read-aloud videos, short-form clips, and eventually serialized story worlds.

This opens up a much bigger creative canvas:

A child’s story can become a mini animated movie.
A classroom writing project can become a multimedia showcase.
A family memory can become a book and a keepsake video.
A character can come back across sequels, shorts, and new adventures.
A story can now live on the page, on YouTube, in Reels, in Shorts, and in classrooms.

We see this as a major step toward AlsonAI becoming a story studio: one place to create the book, bring the characters to life, and turn original stories into media people can read, watch, share, and build on.

We’d love your feedback, especially on which animated use cases you’d want us to prioritize first: book trailers, read-aloud videos, classroom showcases, social shorts, or serialized story episodes.

Played around with it for a bit and was actually surprised how solid the illustrations came out, especially in the watercolor style. Editing text page by page felt really natural too, didn't have to fight with the interface.

I've tried Prompt Anything since a much earlier release and was impressed each time! Very useful if you're wrestling with prompts or struggle to get the exact context across.

This tools helps you to optimize, reduce prompts and token use (as well as save some water that would be used to cool your unoptimized prompts!

Great work Richard

Nice idea, good prompts are still one of the biggest productivity multipliers with AI. Congrats on the launch!

One question: how do you personalize generated prompts for different users or domains, and do you optimize them differently for models like GPT, Claude, and Gemini?