Anuj

You're 5 minutes away from a complete brand identity. Founders, indie hackers, and devs: we all know the bottleneck. You have a killer product idea. You're ready to build. But first... you need a logo. A color palette. Typography. A visual identity. So you spend hours on Canva, fiddle with Figma, or worse—launch with a “placeholder” logo that never gets replaced. What if your first brand wasn't a compromise, but a competitive advantage? Introducing 𝗗𝗲𝘀𝗶𝗴𝗻 𝗥𝗮𝗶𝗹𝘀 — a complete brand identity, generated in a conversation. Chat with an AI designer. Walk away with: ✅ A professional logo (multiple formats) ✅ A cohesive color palette ✅ Typography system ✅ A beautiful, shareable style guide ✅ Code-ready specs for AI agents (Claude, Cursor, v0, etc.) This isn't just a logo generator. It's a brand system built for builders. The magic is in the output: code-friendly brand tokens that plug directly into your dev workflow. No more guessing hex codes or font sizes. How it works: 1. Chat – Describe your project’s vibe. 2. Refine – Iterate with the AI in real-time. 3. Download & Build – Get your brand package and start shipping. Best part? You get a free logo (PNG) with no credit card. The full brand package (SVG, style guide, code specs) is a one-time $49. Stop letting branding slow down your build. Start with an identity that's actually ready for production. 👉 Generate your brand in 5 minutes: designrails.com Built by builders, for builders. Backed by Y Combinator.

@vivekchand19 @clawmetry @ProductHunt Hey @vivekchand19, Congrats for the top 10 Products of the day!

@ClawMetry just landed in the @ProductHunt daily newsletter — 1M+ subscribers 👀 75k installs. 100+ countries. and we're just getting started. if you're running OpenClaw agents without observability, you're flying blind. producthunt.com/products/clawm…

It's 10 PM. Your partner's birthday is tomorrow. You're 12 scrolls deep on your phone, staring at the same "World's Best Dad" mug you got them last year. We've all been there. The pressure to be thoughtful. The fear of getting it wrong. The hours lost to aimless scrolling. What if you never had to "figure out" a gift again? Meet GIFTS AI. It's basically a cheat code for gift giving. Here's how it works: 1. Build your circle (once) Add the people in your life. Tell us about them. Hobbies, style, that random thing they mentioned six months ago. Capture it all. "My husband loves woodworking and craft beer." "My daughter is 10 and obsessed with eco-friendly crafts." 2. Let Charis (your AI assistant) do the work No more scrolling. The AI learns what they like, cross-references 600+ brands (including small, women-owned ones focused on sustainability), and serves up the perfect match. 3. Relax. You're covered. Birthdays, anniversaries, holidays, the app tracks them all, sends you reminders with curated picks, and handles shipping. Free shipping, always. Why people actually love it: • It knows the difference between a gift for your CEO and a gift for your nephew • It surfaces those thoughtful details you would have forgotten • You go from "what do I get them?" to "oh, you remembered!" in about 30 seconds Spring is here. Graduations, Mother's Day, weddings - the season of giving is just beginning. Stop stressing. The 600+ brands in our network aren't random. GIFTS AI prioritize small, women-owned businesses that care about craftsmanship and the planet. Just another reason to feel good about checking 'gift' off your list. Since you're reading this: I set up a special discount for you. WELCOME15 for a $15 off on first purchase. 👉 Let AI find the perfect gift: giftsai.com P.S. We're at 4.9 stars and 6,000+ gift seekers for a reason. It actually works.

That "bank alert" in your inbox? It's probably a lie. Here's the scary truth about scams in 2026: ❌ You cannot trust caller ID. ❌ You cannot trust a familiar voice. ❌ You cannot trust an email that looks perfect. AI has killed all the old signals. Scams today don't have typos. They have context. They know your name, your spending habits, and exactly which emotional button to push. So how do you fight back? You need a second brain. One that's not emotional. One that sees the patterns humans miss. Meet 𝗦𝗰𝗮𝗺𝘄𝗶𝘀𝗲. It's a free, smart scam checker that works in seconds Try it: • Got a suspicious email? Forward it to submit@scamwise.com. • Got a weird text? Screenshot it and upload it. • Not sure about any situation? Just type what happened. The 𝗦𝗰𝗮𝗺𝘄𝗶𝘀𝗲 engine doesn't just check the usual "scam databases." It analyzes the behavior — the urgency, the phrasing, the psychological tricks — and tells you clearly and quickly if it's a scam. It's free. No signup. No ads. No sketchy data sharing. Because in a world where scams are powered by AI, your protection should be too. They’re live on Product Hunt today 🚀 : producthunt.com/products/scamw… 👉 And check out the product here: scamwise.com

Your agents shouldn't need a VPN to talk to you. We’ve all been there. You're at a coffee shop. You need to check on a long-running OpenClaw agent back at the office or on a cloud VM. So you... 1. Panic. 2. Try to connect to the VPN (which fails). 3. Give up and hope for the best. ☕️ I discovered @clawmetry Cloud to eliminate step 2. It’s a sync layer for your agents that works the way the internet should. The Workflow: 1. Install: curl -fsSL [install.sh](install.sh) | bash 2. Connect: clawmetry connect (This links your local agent to the cloud). 3. Monitor: Open app.clawmetry.com from any device. The Magic: • No Port Forwarding: We use secure outbound connections so you don't have to open incoming ports. • No VPN: Just HTTPS. • Real-Time: See logs and activity stream live. It’s E2E encrypted, it’s $5/node, and it’s the visibility your OpenClaw stack deserves. See your fleet here: clawmetry.com/cloud They’re live on Product Hunt today 🚀 : producthunt.com/products/clawm…

Crazy that in 2026 most RE analysts still: 1. Get a 200-page OM 2. Copy-paste for 4–6 hours 3. Break the waterfall 4. Get a late-night “quick change” request 5. Fight circular references until midnight Meanwhile, big firms automate all of this internally. Alt-X is basically bringing that capability to everyone else. Upload doc → full model → every number traceable. Kinda makes you rethink how much time we’ve all wasted. Now I'm just annoyed at how much time I wasted last quarter. ( @downloadaltx ) Try Alt-X risk-free at alt-x.co. .

@ycombinator @downloadaltx @SamadiRyan This is actually a huge use case for AI. Real estate underwriting is time-consuming and error-prone, so automating it with traceable outputs sounds incredibly valuable.

Alt-X (@downloadaltx) builds AI agents that turn real estate deal documents into fully built underwriting models in Excel automatically, with every number cited back to the source. Congrats on the launch, @SamadiRyan and Michael! ycombinator.com/launches/PjC-a…

I’ve been testing this quietly for a few weeks. What surprised me isn’t the AI… it’s how little you have to do. You just text @HeyNoahAI like an EA. It shows up before meetings with context you forgot, follows up, and keeps track of relationships better than I ever did manually. No app. No dashboard. Just… texts. Get access here → app.heynoah.io/try?vip=Anuj Or just comment “Noah” on the main post 👇

@ashishtoshniwal @HeyNoahAI NOAH

Introducing the world's first SMS/Voice executive AI assistant @HeyNoahAI, designed for very busy people who deeply care about their professional relationships. Noah waitlists 7 out of 10 people, depending on their calendar RT + comment "NOAH" and I'll send you the VIP onboarding link for FREE.

Developers want to move fast. Security needs to sleep at night. Here is the peace treaty. The tension is real: 👩‍💻 Devs: "Why can't I just let Claude access our Notion and Jira? It would save us hours." 🛡 Security: "Because if I let every agent roam free, we'll be on the front page of the news." Both sides are right. MCP is the protocol unlocking agentic AI. But it was built for connectivity, not governance. @permit_io just solved the standoff. Introducing @permit_io MCP Gateway – the drop-in trust layer for MCP. What it does: It's a proxy that wraps every MCP server with enterprise-grade security, without touching a single line of code. The workflow: 1. Point the gateway at your MCP servers (Salesforce, GitHub, Slack, etc.). 2. Connect your IdP (Okta, Google Workspace, etc.). 3. Set trust levels and consent screens (visual editor, no frontend work). 4. Hand developers the new URL. They keep using the same tools. Now every agent call includes: ✅ Identity (who delegated this agent?) ✅ Authorization (does this agent have permission to write to that table?) ✅ Consent (did the user approve this access level?) ✅ Audit (who did what, when, and why?) The result: Devs get their AI superpowers. Security gets visibility and control. Gartner calls this "Guardian Agents." We call it common sense. Try the Gateway (no code changes required): permit.io/mcp-gateway They’re live on Product Hunt today 🚀 :producthunt.com/products/permi…@

Your data team is drowning in "quick questions." "Can you pull last month's leads by region?" "What was the conversion rate on that campaign?" "Is revenue up or down compared to Q3?" Every day, your analysts get 50 of these requests. They can't build the data infrastructure because they're too busy answering Slack pings. There's a better way: Genie. Genie is the AI analyst that handles the ad-hoc questions so your human analysts can focus on the hard stuff. Built into @databoxHQ, Genie can: 🗣️ Answer natural language questions: "Show me MRR growth by cohort for the last 6 months." 🔍 Drill down automatically: "Which specific products drove the dip in April?" 📢 Send proactive insights: Genie doesn't wait to be asked. It flags anomalies in real-time and tells you why they happened. The result: ✅ 50% reduction in reporting costs (according to Databox users). ✅ Hours saved per week per analyst. ✅ Leaders get answers in seconds, not days. Unlimited users. No per-seat fees. Just answers. They’re live on Product Hunt today 🚀 : producthunt.com/products/datab… #DataScience #Analytics #AI #TechLeadership #DataEngineering

Your backend stack is currently 5 tools too many. Postgres. Redis. WebSocket server. REST API. Deployment configs. You spend weeks stitching them together just to handle real-time data. Stop stitching. Start building. Announcing SpacetimeDB v2.0 — the database that ate the server. We’ve collapsed the entire backend stack into a single, atomic unit. Your application logic (reducers) runs at memory speed inside the database. The "No-Ops" Workflow: 1. Connect: Clients subscribe to queries directly. 2. Think: Brainstorm features with your AI pair. 3. Code: Write Rust (or soon, other languages) reducers. 4. Publish: Hit deploy. The database handles the rest. The Performance Reality: We benchmarked SpacetimeDB against the "modern stack." The result? 100x-1000x faster transactions. Zero bottlenecks. Check the benchmark code in our docs to see it crush: → Node.js + Postgres → Node.js + Supabase → Convex The stack of the future isn't a stack at all. It's a single platform. 👇 Check out the new pricing and get started: : spacetimedb.com They’re live on Product Hunt today 🚀 : producthunt.com/products/space…

50 connected accounts on Unipile: $275/month. 50,000 voice notes on Svara: $79/month. Most messaging APIs charge you per account. If you have 50 users or 50 bots, you pay 50x. That pricing model is broken if you just want to send voice. 𝗦𝘃𝗮𝗿𝗮 flips the model. We charge per voice note. Not per seat. Not per account. Not per platform. Why 𝗦𝘃𝗮𝗿𝗮 exists: We realized that sending a native voice note on LinkedIn requires the same engineering effort as sending one on WhatsApp. But the APIs are completely different. We built a universal translator for voice. The Svara Advantage: ✅ One Endpoint: Same API call for LinkedIn, Telegram, Discord, etc. ✅ Auto-Conversion: Upload an MP3, it arrives as a native OGG on Telegram. ✅ Delivery Speed: < 5 seconds average. ✅ Uptime: 99.9% SLA. Perfect for: → AI voice agents that need to message users back. → Marketing platforms sending voice DMs. → Internal tools for teams that prefer talking over typing. Stop paying for seats. Start paying for usage. Try it free (50 notes, no credit card) 👉 svarapi.io They’re live on Product Hunt today 🚀 : producthunt.com/products/svara…

Today we're introducing the world's first AI CMO. Enter your website and it deploys a team of agents to help you get traffic and users. Try it now at okara.ai/cmo

"Justify your number." The three scariest words in a founder's life. 😰 You've built the product. You've got the traction. You're finally in the room with an investor. Then they lean back and ask: "Okay, but why a $6M valuation?" Most founders freeze. They throw out a comp that doesn't quite fit. They mumble about "future potential." They leave money on the table. That changes today. Meet 𝗩𝗮𝗹𝘆𝗿𝗶𝘀 — launching now to give founders their power back. It’s the first platform that turns your pitch deck into an investor-grade valuation report in ~10 minutes. No guesswork. No vibes. Just math. Here is how you walk into your next meeting armed for battle: 1. Upload your deck (or start from scratch) Don't have a polished deck yet? No problem. Just punch in the numbers. 2. Let the multi-method analysis run Valyris doesn't rely on one formula. It applies the frameworks VCs actually use: → Berkus Method → Scorecard Method → VC Method → Comparables → First Chicago → DCF 3. Get a range you can defend The output isn't just a number. It's a structured report showing you why you land between $4.2M and $7.1M. It highlights risk flags (high burn rate? small team?), benchmarks you against the market, and gives you negotiation leverage points. Why this hits different: • Defensible, not generated: Built for conversations, not vanity. • Context matters: See where you stand against stage, sector, and region benchmarks. • Risk awareness: Know your weak spots before an investor points them out. Check out the sample reports for a high-growth Seed AI startup, a moderate Fintech, or an early Pre-Seed climate play. 👇 Generate your defensible valuation here (free plan available): valyris.app They’re live on Product Hunt today 🚀 : producthunt.com/products/valyr… P.S. Fundraising is hard enough. Don't let your valuation be a mystery.

Most brands waste ad budget not on targeting— but on creatives that don’t connect. That’s what I found interesting about @omneky . It doesn’t just generate ads. It learns what visuals, formats, and messages people actually respond to—and keeps optimizing them automatically. What stood out: • Creatives improve continuously, not quarterly • Data guides creative direction • AI supports marketers, not replaces them Feels like having a creative brain that learns at scale. Marketing’s future isn’t spent. It's a smarter creative system. Explore: omneky.com Would you try this for your next campaign?

R.I.P. to those who bought a $600 Mac Mini. @Base44 just released Superagent. persistent memory scheduled jobs event-based triggers browser sessions Imagine if they are going to distribute it through $Wix's 250M userbase. huge win for SMBs. Check Out: base44.com

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.

@Base44 Sounds awesome! Finally, an AI that does all the heavy lifting while we kick back. Free credits? Count me in!

The AI analyst that actually reads the schema first. Text-to-SQL is a party trick. It guesses. Donna by Rutter AI is different. She’s an autonomous data analyst who studies your database before answering a single question. Here’s what happens the second you connect your data source: ✅ Relationships mapped: She understands how tables join. ✅ PII masked: Emails, SSNs, and payment info are redacted immediately. ✅ Data quality scored: Missing indexes? Naming drift? Hidden constraints? Surfaced. But here’s where it gets interesting. Donna by Rutter AI doesn't just read your schema—she learns your business logic before you even ask a question. Step 1: Teach Donna by Rutter AI your metrics once. You tell her: → "Churn is defined as customers who haven't logged in for 30 days." → "MRR = monthly subscription revenue minus discounts." → "Active users = unique logins in the last 7 days." She stores these definitions. Every query from that point forward respects your business context. Step 2: Ask anything. "What's our churn rate this quarter?" Step 3: Watch Donna show her work. She doesn't just give you a number. She explains: *"To calculate churn, I used the definition you provided: customers inactive for 30+ days. I joined the 'users' and 'subscriptions' tables on user_id, filtered for Q1 2026, and applied your 30-day inactivity window. Confidence: 98%. Here's the SQL I generated."* Then, and only then, can you ask: "Show me this customer's recent orders and any failed payments." How Donna by Rutter AI delivers an answer you can actually send to your manager: 1. Decompose: The question is split into sub-queries (orders + payments). 2. Execute: Queries run in parallel, read-only mode. 3. Explain: Donna shows you the SQL, the sources, and the logic. 4. Mask: No sensitive data ever reaches the AI. Built for the real world: → Validated across 80+ real-world datasets (Kaggle) across 20+ domains. → Works with PostgreSQL, MySQL, ClickHouse, CSV, Kaggle, Hugging Face. → Tested on queries from simple aggregations to complex CTEs. Three steps. Five minutes. No agents to install. Your data team can finally focus on architecture, not answering "how many users signed up last week?" 👇 Give your data team their weekends back: : donna.rutter.ai