PH热榜 | 2026-03-31

Jupid may be built around accounting, taxes, and numbers, but for us it’s always been about people - the founders and small business owners who trust us. My role is to make sure they feel supported and valued.

Would love for you to try Jupid and feel that for yourself 💗

Nice launch! I run a single-member US LLC. Most of my expenses are SaaS subscriptions, a few contractor payments, and the occasional travel. Pretty clean Schedule C. Two questions: (1) How does Jupid handle the personal vs. business split on a single bank account — does it learn which recurring charges are business over time, or do I have to tag everything manually upfront? (2) For a low-volume consulting LLC (~50-100 transactions/month), is there enough signal for the categorization engine to be useful, or does this shine more at higher transaction volumes?

Cool release! Is it safe to use?

Looks awesome – clean idea, strong execution, and a very promising launch. Rooting for the team

I already use claude code a lot for my tax calculation, but looking forward to close the gap and solve it end to end with agents. Best of luck!

Really smart approach — tackling the data/context layer instead of trying to make yet another accounting UI. The insight that LLMs are already great at reasoning over financial data but terrible at remembering it across sessions is spot on. As someone who's wrestled with categorizing hundreds of transactions in AI tools only to watch it drift by month three, this solves a real pain point. The Claude Code integration is a nice touch for founders who live in the terminal. Congrats on the launch, Slava — excited to see where this goes! @slavaakulov

Great product!

Congrats on the launch - a much needed solution!

This makes a lot of sense. AI is great until the same vendor gets treated differently three times in a row 😅 Love the focus on fixing the data/context layer. Congrats guys.

Great 👍 Good luck with the launch and finding more customers 🤗

If our company already considers using one of the alternatives, like Fondo, how are you different from them? Any highlights/number differences?

Good luck with the lunch. Does it sync with the accounting softwares,or I need to change it with your soft?

How does it handle transactions that could go either way? Like a laptop that's both personal and business?

Congrats with the launch - great product!
Does it handle estimated quarterly taxes?

I saw Kick and Fondo listed as similar products on PH. What's genuinely different about Jupid?

The 'Works in Claude Code' angle is interesting. What does that actually look like in practice?

🥰 Thrilled that we are finally live and featured on Product Hunt — right in the middle of US tax season

My favorite feature is working with transactions through Claude Code. If you are a developer who does your own books, this changes everything

First 100 transactions are free to try. And use promo code PRODUCTHUNT for 50% off your first 3 months

Would love to hear what you think — honest feedback means more than upvotes

Hey @slavaakulov Congratulations on the launch. Is Jupid available for c-corps as well?

How do you ensure deterministic results when Claude is handling actual tax calculations, is there a verification layer that catches hallucinated numbers before filing? Really bold product idea!

Hey, congrats with the launch!

Is it adoptable for different countries? And will it work for me when I’m actively nomading?

Great product! But how does the bank connection work? Is it Plaid? And what happens if my bank isn't supported?

Congrats, team! How often does the bank data sync?

LOVE this idea! I am looking for a similar tool for my personal taxes. Would Jupid be a good fit or do you suggest an alternative tool?

The vendor relationship memory approach is clever. I've hit the exact context drift problem — paste 6 months of transactions into Claude, works great until it starts re-categorizing the same coffee shop three different ways. Modeling context around counterparties instead of individual rows is a much smarter data structure for this.

Hi everyone!

Claude can write the code, run it, open the app, click through the interface, and check what actually happened, all from the CLI.

You can enable computer-use from /mcp, grant macOS Accessibility and Screen Recording, approve apps per session, and stop everything instantly with Esc at any time.

Research preview for macOS on Pro and Max plans for now.

This is a game-changer for developer workflows. We use Claude Code heavily for building our PropTech platform and the biggest friction has always been switching between the CLI and GUI tools for testing. Being able to have Claude debug visual issues and automate GUI-only tools directly from the terminal is going to save so much context-switching time. Question — does the screen observation work well with map-heavy interfaces? A lot of our work involves geospatial UIs (Mapbox, zoning overlays) and I'm curious how well it handles those kinds of visually complex layouts.

The GUI-only tools use case is what gets me. So much internal tooling in companies never gets API access - it lives in dashboards, legacy web apps, Figma. This bridges that last mile without needing to build integrations first. Curious how it handles multi-step flows where intermediate state matters - like filling a form where field 2 options depend on field 1.

👋 Hey Product Hunt!

We're Ryan and Tony, founders of Pixero. Super excited to share what we've been building!

The Problem: Running Meta ads that actually convert requires three things most SMBs can't afford: great creative, a media buyer who knows what they're doing, and time to test and iterate. So they either skip ads entirely or burn budget on content that doesn't perform.

Our Solution: Pixero is an AI agent that handles your entire Meta ads operation: 🤖 Scrapes your brand and builds the ad strategy automatically ⚡ Creates ads using the latest generation models 📈 Deploys and manages live campaigns directly in your Meta Ads account

Why We Built This: We started Pixero as an internal tool to automate our own marketing. When we showed it to friends at other startups, they immediately started using it to run their Meta campaigns. We saw the signal and built the full platform.

Traction So Far: 🎯 10,000+ users in 3 months 🏆 Used by businesses all over the world
What Makes Us Different: Most tools stop at creative. Pixero handles the whole thing: strategy, creation, and live campaign management. Drop your URL and your Meta ads are running in minutes.

For Product Hunt: Use code LAUNCH for 40% off your first month 🚀
Try it now: https://pixero.ai

— Ryan and Tony

Happy launch day Ryan and Tony!

Have you encountered situations where the AI misreads a brand's positioning or creates ads that don't match their actual customer base? 🤔

Either way this seems like it could save tons of time and efforts for smaller teams who can't afford dedicated media buyers.

Congrats on the launch!!! How do I know how much credits a video is going to consume? Is it a set number or does it alert in advance before generation?

How you handle the API rate limits when scraping brand data at scale across thousands of URLs?

Huge congratulations @ryanzambrano8 @tanaywastaken, the 9 minute timeline from URL to live campaign is pretty impressive. Quick question though, how do you handle brand voice consistency when the AI is scraping and creating the strategy automatically?

This is very cool! Does it work for digital apps too? I see most of these products are only useful for physical goods. Congrats on the launch!

I'm wondering how it performs against campaigns built by experienced media buyers??

Congrats on launching, Ryan and Tony. BTW, how you handle compliance with Meta's ever-changing ad policies automatically? Have you ever heard any user getting banned with this kind of automation or that is not a possibility?

Congrats! Love your product idea. Does it only works for Meta? Do you plan to build agents for other platforms (LinkedIn, Google Ads)?

Would this work for SaaS and even micro-SaaS products?

Congrats on the launch! Do you plan to support TikTok or Google Ads down the road?

Paid for their product and it was beyond worth it. I build consumer apps and was struggling with distribution, they helped me scale to lots of downloads and even more in revenue. Highly recommend

When a campaign hits a plateau, does the AI prioritize tweaking audience targeting, or does it automatically pivot to generating new creative iterations to beat ad fatigue?

Wow man! Is there a minimum budget required? Anyway it sounds amazing and I'm sure you'll rock it here

I was hoping to be able to see some results before I paid $20 to see something. Hopefully it's something you can support in the future when you start getting more paid customers to cover the costs of doing a free preview.

getting a campaign live fast is one thing, but what happens once real results start coming in? does Pixero actually change the creative and audience setup based on that, or is the main value more in launch and day-to-day upkeep?

Congrats on the launch! Why Viktor? 😅

Hi Product Hunt! 👋

Running a business is tough. There are never enough hours in the day, and the messages never stop. We originally built this tech for enterprise teams to handle thousands of customer messages per day, but small business owners face the same challenges, often with even fewer resources. That’s why we created Solvea, making it easy for any business to have its own AI receptionist in minutes.

Solvea is like having an employee who actually gets it. Describe how you want it to behave in plain language, and it comes to life instantly. It can answer questions, book appointments, recommend products, and always stay on brand 24/7, even when you’re asleep.

Here’s what I'm most excited for you to try:

• AI receptionist vibe builder – Give it a prompt or rough idea, and Solvea turns it into a working AI receptionist in minutes. Refine it together to get it just right.

• Prebuilt templates for your industry – Shopify stores, medspas, dental offices, and more. Get started fast with curated templates.

• Custom branding and persona – Set its voice, tone, and personality so it feels like the perfect hire.

• Upload documents to train your AI – Add specialized knowledge about your business in minutes.

• Powerful built-in tools – Handle logistics inquiries, book appointments to Google Calendar, organize data in Sheets, send emails, and fetch real-time Shopify order info.

Over 1,000 businesses already trust Solvea to handle customer interactions. Give it a try at solvea.cx. It is free to join!

PS: Come hang out with us on Discord and chat directly with the founding team. We would love to meet you and hear your feedback. Join here: https://discord.gg/VCbYAVRpz

— The Solvea Team

Hey Product Hunt! 👋

I'm the founder of Solvea, and today is a big day for us.

The story behind this: I spent years watching small business owners miss calls, lose leads, and burn hours answering the same questions over and over — while trying to run their actual business. A dentist missing a booking call at 9pm. A contractor losing a job because they couldn't pick up while on a roof. It's not a technology problem, it's a bandwidth problem.

Solvea is an AI receptionist that answers calls, chats, emails, and SMS — deployed in under 3 minutes, no code, no IT team needed.

What we obsessed over:

- Speed: Most businesses are up and running before their coffee gets cold

- Voice-first: We handle actual phone calls, not just chat widgets

- It sounds human: No "press 1 for..." — natural conversation that represents your brand

- First AI customer service product built with vibe coding — we shipped the entire product this way, and it changed how we think about building

- First with built-in Claw extension customization — power users can extend and customize Solvea's behavior with Claw, making it the most hackable AI receptionist on the market

We're starting with SMBs because they're the ones who need this most and have the least support. A 5-person plumbing company deserves the same professional front desk as a Fortune 500.

This is day one for us publicly, and we'd love your honest feedback — brutal or kind. What would make this a no-brainer for the small businesses in your life?

🙏 Thank you for hunting us, and thank you PH community for the best place to launch something you've poured your soul into.

— Hunter, Co-founder @ Solvea

Hey Product Hunt! 👋

I'm the C-suite of Solvea, today I am so excited to launch our product.
We would like to express our gratitude to our team for their numerous efforts. Our product is constantly being updated and improved every day. We are very much looking forward to seeing that our product can bring commercial value to everyone after experiencing it. No longer miss any business opportunities, bringing you continuous business growth. 👉 Try it at solvea.cx

We're free to start — 11,000 free credits, handles your customers at no cost, no credit card required. You can even call our demo number right now and hear it handle a real conversation before you sign up.

What I'm most excited for you to try:

• 3-minutes setup — Describe what you want in plain language. Your AI receptionist comes to life instantly. No IT team. No 6-week onboarding.

• Real phone calls, handled — Not just a chat widget. Solvea picks up actual phone calls with natural, human-sounding conversation. No "press 1 for..." menus.

• Works everywhere your customers are — Phone, website chat, email, SMS. One AI, every channel, 24/7.

• Takes real action — Books to Google Calendar, fetches live Shopify order data, updates Google Sheets, sends emails. It doesn't just talk — it does.

• Trains on your business — Upload your docs, FAQs, policies. Solvea learns what makes your business unique and stays on-brand every time.

• Industry templates out of the box — Medspas, dental offices, Shopify stores, contractors — get started in seconds with curated templates built for your use case.

• Custom voice & persona — Set the tone, personality, and name. It should feel like the perfect hire, not a robot.
  
  — Joyanne, C-suite @ Solvea

Do customers know they're talking to AI? "No press 1 for..." is a good call, but there's a difference between natural conversation and making someone think they're talking to a person.

Congrats on the launch!

epic launch! Congrats to Hunter Guo and the Solvea team, can’t wait to see the impact you'll make!

Been lucky to see some of the thinking behind Solvea, and it’s great to see it out in the wild.

The focus on making AI actually useful for businesses (not just conversational) really shows—especially with how it handles real workflows like booking and customer support.

Big congrats to the team —this is just the beginning 🚀

When a caller asks something outside the trained knowledge base, does Solvea escalate to a human in real time or queue it for follow up? The speed of setup is impressive, congrats on the launch!

Perplexity just turned its battle-tested infra into a developer platform and it shows.

The problem: most agents rely on outdated training data + weak search APIs.

The solution: Perplexity AI opens its own real-time, 200B+ URL index with proven retrieval quality.

What stands out:

🔍 Search API with real-time context + citations

🤖 Agent API (multi-model access via one endpoint)

🧠 High-performing embeddings for retrieval

⚙️ Upcoming sandbox for code execution

Different because this isn’t a side tool, it’s the same stack running at scale in production. Perfect for devs building agents, copilots, and real-time AI apps.

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

One API key instead of stitching together 5 vendors. That alone is worth it. We pull from FEMA, county records, and zoning databases for our property intel platform — the vendor management tax is real. How fresh is the index for government/niche data sources?

The open-web grounding is a liability trap hiding as a feature for certain verticals — surfacing citations makes your app look more trustworthy while silently inheriting SEO-poisoned content, recency bias, and contradictory sources. For anything touching health, legal, or finance, you haven't reduced hallucination risk; you've just made it traceable and attributable back to your product. How does the API handle query disambiguation when the freshest web result is actively worse than a well-calibrated model response would be — and does the platform expose any controls to constrain source domains, or are builders fully dependent on Perplexity's own ranking decisions?

Hey everyone, Fryd here. Co-founder of Viktor.

We launched Viktor on Product Hunt a few weeks ago and hit #4 for the day. Since then, something interesting happened: media buyers started showing up. A lot of them.

Turns out, when you build an AI agent that connects to Meta Ads and Google Ads with real write access, performance marketers find you. They don't care that Viktor can also manage your GitHub repos or build Slack apps. They care that it can pause a $68 CPA ad set at 2am while they're asleep.

So we built a vertical experience around it.

What Viktor actually does for media buying:

-> Connects to your Meta Ads and Google Ads accounts via OAuth (two minutes, no API keys)

-> Pauses underperformers, scales winners, adjusts budgets from a single Slack message

-> Shifts budget cross-platform: "Cut Meta by 30%, move it to Google exact match." Done.

-> Cross-references Meta's reported revenue against your actual Stripe charges (Meta over-reports by 20-40% for most of our users, mostly view-through attribution)

-> Exports weekly performance reports to Google Sheets

-> Runs overnight: if CPA spikes at 3am, Viktor pauses the ad set and tells you about it in the morning

The depth matters. Viktor has 103 available actions on Meta Ads and 37 on Google Ads. That's not "we can pull your campaign stats." That's pause, enable, adjust budgets, duplicate ad sets to new audiences, manage keywords, change bids, create automated rules, and export everything to Sheets.

What we're honest about: Ad copy changes on Google Ads (responsive search ads) still happen in the Google Ads UI. Viktor handles campaign structure, budgets, bids, targeting, keywords, and reporting. Not creative. We'd rather tell you upfront than have you find out on day two.

How to try Viktor:

1. Add Viktor to Slack (one click from the Slack App Directory)

2. Connect your Meta and/or Google Ads accounts

3. Ask Viktor to audit your last 7 days

You get $100 in free credits. No credit card. That's enough to run Viktor for weeks on typical media buying workflows. Most people see the value in the first audit.

We built this because we run ads ourselves and got tired of the morning ritual: open Meta Ads Manager, open Google Ads, open GA4, open Sheets, pull numbers, compare, decide, act. Viktor does that loop in 30 seconds from one Slack message.

If you run ads across Meta and Google, I'd genuinely like to hear what your workflow looks like. We're building the vertical pages and integrations based on what actual media buyers tell us they need.

getviktor.com/for/media-buying

Vadym here, engineer at Viktor.

I worked on the skills system that powers Viktor's media buying workflows. Think of skills as muscle memory for an AI - pre-built knowledge about how ad platforms work, what good performance looks like, and what to do when something goes wrong.

When a media buyer asks Viktor to 'audit my last 7 days,' a lot happens under the hood. Viktor pulls data from both platforms, normalizes the metrics (Meta and Google report differently on basically everything), cross-references against your historical performance, and formats it into something you can read in 30 seconds.

Building that felt like writing a playbook for a media buyer who never sleeps and never forgets what your CPA looked like three weeks ago.

The skills keep getting better too. Every edge case, every new request pattern, every workflow a user invents goes back into the system. Viktor for media buying today is noticeably sharper than it was a month ago.

I hunt products I'd actually pay for. This is one of them.

I'm Head of Growth at Wispr Flow. In the early days, I was running everything myself — Meta, Google, reporting, the whole stack. The morning routine Fryd described is real. Four tabs, three dashboards, twenty minutes before you've made a single decision. Every day, before any actual work starts.

I kept wishing there was something that could just act. Not surface the data. Act on it.

That's what Viktor does. When you can say "cross-reference our Meta reported revenue against Stripe actuals and flag anything over 25% variance" and get an answer in a couple of minutes — that's not a productivity gain. That's a fundamentally different way of working.

The 103 Meta actions and 37 Google Ads actions aren't a feature list. They map to real decisions: budget pacing, audience segmentation, cross-platform rebalancing, overnight anomaly detection. The things I was doing manually at 7am so I could actually think by 9.

I hunted this because I know exactly what it would have meant to have it earlier. Media buyers aren't looking for another dashboard. They want an agent that can act. This is the first one I've seen that actually does.

Start with the audit. Ask Viktor to review your last 7 days. That's where it clicks.

Love the idea of managing ads from Slack! How does Viktor handle campaign optimization — is it rule-based or AI-driven?

love the Slack-native approach. I don't need another login, another tab, another app to babysit. just put the data where I'm already at

Paweł here, Chief of Staff at Viktor.

Quick perspective from the operations side.

When media buyers started adopting Viktor faster than any other user segment, we dug into why. Our first guess was integration depth. The real answer was simpler.

Media buyers already live in daily loops. Check performance, make adjustments, repeat tomorrow. They don't need to build a new habit around Viktor because the habit already exists. Viktor just compresses it.

What turned this from 'interesting signal' to 'dedicated vertical' was the retention data. Media buying users come back at 2-3x the rate of general users. Not weekly. Daily. That's not curiosity, that's workflow.

We're applying the same logic to what we build next: find people who already have daily operational loops, then make the loop shorter. Media buying was the first one that cleared the bar.

Filip here, GTM team at Viktor.

I remember when Viktor was still a baby... before we launched in February.

His first "baby steps" were exactly that ➡️ helping us out with management of our own ad ideation -> creation -> performance + spend management.

Here's a use case we didn't plan for: founders who know they should be running ads but don't have a dedicated media buyer. They're managing campaigns between product calls and investor meetings.

Viktor isn't replacing experienced performance marketers. But for smaller teams without a hire yet, it fills the gap between 'we should be doing this' and 'we can't afford someone full-time for it.'

Think of it as the operational layer for ad management. It monitors your campaigns while you do literally everything else. Catches the CPA spike at 2am. Flags when Meta claims more conversions than your Stripe dashboard shows. Runs the daily performance check you keep promising yourself you'll do.

If you know your ad spend needs more attention than you're giving it, the free audit is a solid place to start. It shows you what Viktor would catch that you're currently missing.

And the best thing about it all? You'll just have fun talking to Viktor in Slack, like to any other coworker 🙌

Peter here, CTO at Viktor.

Building an AI that reads ad data is a weekend project. Building one with write access to someone's $50k/month ad account? That took months of productive paranoia.

We mapped 103 actions on Meta Ads and 37 on Google Ads. Each one went through the same bar: would I let this run on our own ad account while I sleep? The answer had to be yes before it shipped.

We eat our own cooking here. Viktor manages our own ad spend. If it breaks, it breaks our budget first. That's the only level of trust we're comfortable shipping with.

Slack as the control plane for ads is a good call - media buyers already live there. The real test will be how it handles edge cases: campaigns hitting budget caps mid-day, sudden performance drops, audience fatigue signals. Does Viktor flag those proactively or wait to be asked?

LFGG! When can I get onboarded and give this a shot? Slack integration is the unlock imo

This product seems cool, do you have plans to integrate tiktok

I do growth at Viktor, so I'll add the part Fryd won't brag about.

The original launch hit #4 with 386 upvotes and 130 comments. Good day. But the interesting part came after.

We started seeing a cluster of users connecting ad accounts in their first session. Not browsing integrations, not testing a summary task - going straight to Meta Ads and Google Ads OAuth. Within a week, ad platform connections were the second most common integration after Google Sheets.

When we segmented retention by use case, media buyers were the highest. They come back daily. That makes sense if you think about it - ad management is a daily loop. You do it every morning regardless. Viktor just moved the loop from four browser tabs to one Slack message, so the habit transferred instead of needing to form.

The thing that surprised us most: users turned our scheduled tasks feature into an always-on spend watchdog. We built it as a general automation tool. Media buyers made it their safety net. One user caught enough wasted overnight spend in week one to cover their entire credit balance.

If you try it, I'm curious whether you start with the audit or go straight to connecting your accounts. We've seen both and it's been roughly 50/50.

Stamp is the AI Secretary that handles your email and calendar for you.

It does so through several ingenious features, namely:
1. Stamp Mode: As soon as you receive an email, Stamp prioritizes, summarizes, extracts todos, and drafts a reply. When you return to your inbox, simply "stamp" the changes and blaze through your emails

2. Memories: Stamp creates memories with every interaction, which it uses to learn your preferences, style, and context. These memories are then used every time Stamp works on your behalf

3. Agent: Stamp Agent can automate any workflow -- it's capable of browsing webpages, organizing your inbox, bulk drafting outbound, performing deep research, and enriching leads, all in a matter of minutes!

4. Voice Mode: On mobile, use Voice Mode to summarize, triage, and reply to emails hands free anytime, anywhere

5. AI Labels: Define labels in plain English and teach Stamp how to handle them (ex. always draft replies to customer support emails or always treat demo meeting invites as high priority)

In short: Stamp thinks, writes, and works like you. Email was built to make us more productive, and Stamp is the first solution to deliver on that promise.

Stamp is available to try for free right now, everywhere you use email (Web, iOS, and Android)!

Which feature are you most excited to try first?

Interesting concept of an AI secretary! How well does Stamp adapt to a user’s writing style over time?

The approval step is the right design choice - fully autonomous email agents that just send things are a liability. The interesting UX problem is what happens when you come back after 8 hours and Stamp has queued 40 changes. Does it batch them into a review flow or show them one by one?

A genuinely interesting concept, but what is the method that is used to train it to write like us?

We're excited to announce that we've launched a new, simple way to clean up your data structure as you grow. Not all companies needed transformations, semantic layers and metadata curation in the past as agents. However, as agent powered analytics become a primary way for people to work with data, a clean data layer matters more and more. Data Studio is how we think you should create it!

Data transformation in Metabase? Wow! 🤩

You know that moment when someone asks "how many active users do we have" and three people give three different numbers?

Yeah, we fixed that ✌️

This is my favorite project that Metabase launched, and I use it every day now. It's a set of tools to run your entire data stack inside Metabase: transforms, definitions, lineage, everything.

Here's how I use it every day:
- Write SQL (and sometimes Python) transforms and save results straight to the database: like cleaning up messy user signup data and combining it with referral info to make a new table I can query everywhere.
- Define metrics once so I don’t have to rethink “what counts as active users” every time: now everyone on the team uses the same definition.
- Create clean tables I trust: for example, a revenue table that I know is accurate and ready for dashboards without extra checks.
- Trace numbers back when something looks off: like seeing exactly which transform or question a dashboard number came from instead of guessing.
- Catch issues early: if a column got renamed and a query breaks, I know immediately which dashboards are affected before anyone asks “why is this number different?”

Everything in one place.

Dependencies are my favorite! Being able to follow the data flow and know what the downstream impact to changes is super helpful!

Very exciting launch. Been using Data Studio for a while, and I love how easy it makes it to build (sql/python transforms + library + remote sync) and correct (dependency graphs) a robust, intuitive data environment that other people can actually use and build from 🎉

The "what does active user mean" problem is real and expensive. Every company I have worked at has had at least three competing definitions living in different dashboards. The shared semantic layer approach makes sense - it is the same problem that good data teams solve manually, just formalized. How does Data Studio handle it when business definitions legitimately change over time - does it version the metric or just update in place?

Congrats on the launch! This is a big step forward in making data easier to work with and trust across teams

The dependency graph feature is what sells this for me. Been burned too many times by renaming a column upstream and only finding out days later when a dashboard breaks. Having that visibility built into the same tool where you define metrics feels right — no more duct-taping dbt + Looker + docs together.

As a non-technical person using Metabase, having verified datasets and predefined metrics that are owned by someone who actually knows what they're doing makes it way easier for me to run the reports i need, and be confident in the answers I get.

I haven't asked Metabot yet, but i'm pretty sure she feels the same.

Great to see Metabase still going strong. I used it a couple years ago on a personal project and I liked it a lot. 

I love the idea, however the "It handles the craft layer, not just the execution layer."-part is not well reflected on your website! After reading this the pricing made a lot more sense!

Can the MCP server handle bulk campaign creation or is it more suited for managing one campaign at a time through prompts? The no Cloud setup angle is a huge win for non-technical marketers, nice launch!

I've been using it for a few days! So far very happy with how it works, great work Suyash!

Can you literally setup a campaign using that?

Hi everyone!

Qwen3.5-Omni is the latest native omni model from the Qwen family. It handles text, images, audio, and video in one system, pushes hard on multilingual speech, and adds a lot of the interaction stuff that actually matters in practice: semantic interruption, realtime voice control, WebSearch, Function Calling, and voice cloning. The audio/video captioning and "audio-visual vibe coding" angle is especially wild.

It is not open-sourced yet. Right now, the way to try it is through the Hugging Face offline or online demos, or through the official API.

Would love to see this land in the Coding Plan soon!

We've been heads down for the past ~10 months building (custom stack, not OpenClaw) 🧑‍💻, and we’re excited to finally launch our virtual colleagues into the wild! 👀 Sign up with $50 free credits if you want to dive right in.

These are not limited to single-user assistants, but are actual colleagues that can integrate into the team — with their own name, their own personality, their own full computer, and their own ever growing memory and skills 🔧

You onboard them exactly how you'd onboard any new hire. Share your screen and walk them through your tools, send onboarding docs, record voice notes, hop on a call, or whatever is easiest. They learn how your team works, and they continually reflect, ask follow up questions, and improve over time 📈

We built our own stack from scratch for this (it's not built on top of OpenClaw, though we’re big fans 🦞). The reason is simple: making something that genuinely feels like a colleague, with a fully realtime “there in the room with you” experience — required a fundamentally different architecture.

Your new colleague can be simultaneously using their own computer, talking to you via voice on a meet, following your own live guided screenshare instructions, and consolidating all of these into new skills on-the-fly, just like a person can. They can be interrupted and redirected at any point in time, and they’re continually chunking all of their experience into reusable skills. People don’t perform tasks in “prompt then execute” windows, and neither should your virtual colleagues.

We're really happy with the feedback we’ve received thus far. We’ve helped many teams streamline processes which would have taken hours to “prompt” into a traditional AI tool or manually written skill, because these tasks are hard to fully articulate upfront. They require incremental judgment, context, and working with people to really learn and internalize.

If you're curious to see how human your virtual teammate can be, then give it a try with this free credit link! Would love to hear what people think (both positive and negative) - thanks! 🫶

The onboarding model is what sets this apart. Most AI tools expect you to fully articulate the task upfront, but I love the gap @Unify bridges: learns through the same process a real colleague would. Tried the hiring flow and the "there in the room with you" experience comes through immediately. Excited to see where this goes.

So excited this is finally out in the wild! 🎉

We've spent the last few months building the brain of this thing — the part that lets your colleague hold a voice conversation with you, run a task in the background, and accept corrections mid-flight without starting over. Getting that to feel natural required rethinking a lot of assumptions about how agents should work.

Most tools in this space are still "prompt it, wait, get a result." What we think we've built is closer to how you'd actually work with a person — you can redirect it, ask how it's going, share your screen and walk it through something live.

Genuinely can't wait to see how people's first onboarding sessions go. Drop a comment if you try it — any feedback (good or bad) is more than welcome ❤️

Really excited to see @Unify launch on Product Hunt today! 🚀

This has been a huge amount of work from the team over the past few months, and it’s exciting to finally share it. The idea of AI colleagues that learn how your team works - with memory, their own computer, and real onboarding is something I think people need to experience firsthand.

A big part of that comes from moving away from the typical "single loop, one tool call at a time" setup, and instead making things fully async and steerable. That means you can interject, pause, or adjust tasks in real-time while they're happening, and the system manages multiple nested actions concurrently without losing context or restarting from scratch.

If you get a chance to check it out, I’d genuinely love to hear what people have to say. 🫶

"Gets better the longer you work with them" is a real value prop but also a real commitment - you're investing time onboarding something that might not pay off for weeks. How do you handle the gap between when someone starts and when it actually feels useful? And I'm curious how that plays out when the team itself changes. A real colleague picks up on shifts naturally - new person joins, priorities shift, processes evolve. Does the AI recalibrate on its own, or does someone have to actively re-onboard it every time something significant changes? Congrats on the launch!

Hehe Daniel! It's super cool bro. I'm sure AI came to stay and hiring industry must adapt to it. On the other hand, onboarding is key for every Saas and I hope every founder here can see the same. All the best!!

The custom tech stack for real-time responsiveness is a bold move—building outside of the OpenClaw ecosystem is no small feat! @dan_lenton , I’m curious how that low-latency architecture translates to more 'physical' workflows.

Since these colleagues have their own virtual computers, can they interface with hardware-specific environments? For example, could I onboard a Unify colleague to monitor IoT device clusters or manage remote hardware via a web console without the typical 'lag' you see in standard agents? Would love to hear how the custom stack handles that high-frequency data.

Local indie maker meetups are underrated for early feedback. Is it self-organized by the community or does someone curate the events?

As someone who has moved a lot in the past 15 years, this hits home. Curious whether this stays mostly in-person meetups, or if there's also an async/online layer for makers in cities where there's only 2-3 others?

What does being an indie person mean? Like indie hacker? Maybe define it a bit more. Who/what/when/how are we meeting?

Are events active in smaller cities yet? Would love this!

Why can not we login without X account ? Do you have a plan to add another login method?

How many countries are supported by far?

But we do not have to send photos or so, right? :D

Love this idea, do the poop buddies actually motivate each other?

<3<3<3

This is awesome Ryo! I am free user to check the status of health from recognizing the shape of poop and how many times pooped. It will be much better if it is incorporated with the scientific evidence of health status of the shape of poop and how many times people pooped a day. Creative application!

Well if you could add friends in here, I think that's the ultimate friendship test!

I'm digging the Duolingo framing here. I feel like gamification is a good way to get people drawn to an app. Did you go automated translation or work with translators for the 56 languages? If you automated it, any concerns of those translations being slightly off?

Who's liable when it lies on your resumes or cover letters? I've been having Gemini write cover letters for me based on job descriptions and it often says things that aren't true just because the job description calls for a specific skill or experience.

Congrats on the launch! I’m curious how the match scoring handles non-traditional experience like volunteer work, community projects, and extracurriculars. Many people (especially younger ones) have real skills outside formal jobs but struggle to frame them. Does the AI know how to weight that kind of background, or does it mostly look for conventional work history?

I'm using TablePlus which supports all the databases you mentioned and it's fast enough for my needs. What's your differentiation?

Solo dev building a Rust-based database client that handles 9 databases? That's the kind of obsession that ships great tools. The DBeaver/pgAdmin problem is real — we use Supabase (Postgres) at ReadyPermit and the tooling gap is painful. Bookmarking this.

The production safety guards are underrated in DB tooling. Destructive query protection is the kind of thing you only care about after you have made a painful mistake. Rust for a desktop DB client is an interesting call - curious how startup time compares to DBeaver in practice.

This is how learning should work. Most people quit not because they lack motivation — they quit because the plan sucks. Breaking skills into followable steps is underrated. We do something similar at ReadyPermit — turning complex zoning/permit research into a 20-second answer. Simplification wins.

The structured plan idea makes sense, but Im wondering what makes this different from just asking ChatGPT "give me a learning plan for X." ? Is it the follow-through - the daily structure and editing - or does Planana do something different at the generation stage too? And what happens when someone types a goal that's too vague to plan from? Congrats on the launch!

Congrats on the launch, @orangemoon54123!

I often have too many tabs open when I learn new stacks. Planana feels like fresh air. The design is clean. And the 8-week Python example plan looks realistic.

I've a few ideas that you might find useful. Where can I send it?

And good luck again man!

AutoClaw lets you run OpenClaw locally on your own machine.

• No API key required: download and start immediately

• Model flexibility: bring any model you like, or use GLM-5-Turbo, optimized for tool calling and multi-step tasks

• Fully local: your data never leaves your machine

One-click local AI setup is the future. The friction of API keys and config files kills adoption. We learned this at ReadyPermit — the moment we got our zoning reports down to 20 seconds with zero setup, everything changed. Remove friction, win users.

Is it like clawx alternative?

Congrats on the launch! 🎉 I am interested in being a developer 🧑‍💻and I will explore it further 🚀.

API marketplaces are criminally underbuilt. The fact that devs still have to hunt across docs, forums, and random GitHub repos to find the right API is broken. We pull from dozens of APIs at ReadyPermit for zoning, flood, and permit data — a marketplace like this would save us hours. Good luck with the launch.

Free and open source alternative to iStatMenus? Sold. I've been running Flutter builds and Claude Code sessions at the same time and my M2 starts cooking. Having this in the menu bar without paying a subscription for something that should honestly be built into macOS is nice. Does it track thermals too or just CPU/GPU/RAM?

Does it expose per-core efficiency vs performance cluster breakdowns on M-series chips? The 2 second refresh rate with low overhead sounds perfect for dev workflows. Congrats!

Hey PH! I'm Ron, one of the founders of Geer. We built this because we got tired of guessing when our components (e.g. chain or cassette) was due for a swap — and spreadsheets weren't cutting it. Geer syncs with Strava, tracks wear on every component, and pings you before things break. It's a PWA so there's no app store install needed. Would love your feedback — what bike maintenance pain points do you have? 🚴

Does it work with e-bikes too? This sounds super useful!

really smart approach connecting to Strava data. most cyclists track rides anyway so using that existing data stream makes total sense. curious how accurate the wear predictions are in practice - are you factoring in riding conditions, power data, or just distance/time?