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[Other] Online image compressor Compress images quickly with PNGOptimize. Reduce file size without losing quality for web and digital projects.

[Database] Show HN: Chroma Cloud – serverless search database for AI Hey HN - I’m Jeff, co-founder of Chroma.<p>In December of 2022, I was scrolling Twitter in the wee-hours of the morning holding my then-newborn daughter. ChatGPT had launched, and we were all figuring out what this technology was and how to make it useful. Developers were using retrieval to bring their data to the models - and so I DM’d every person who had tweeted about “embeddings” in the entire month of December. (it was only 120 people!) I saw then how AI was going to need to search to all the world’s information to build useful and reliable applications.<p>Anton Troynikov and I started Chroma with the beliefs that:<p>1. AI-based systems were way too difficult to productionize<p>2. Latent space was incredibly important to improving AI-based systems (no one understood this at the time)<p>On Valentines Day 2023, we launched first version of Chroma and it immediately took off. Chroma made retrieval just work. Chroma is now a large open-source project with 21k+ stars and 5M monthly downloads, used at companies like Apple, Amazon, Salesforce, and Microsoft.<p>Today we’re excited to launch Chroma Cloud - our fully-managed offering backed by an Apache 2.0 serverless database called Chroma Distributed. Chroma Distributed is written in Rust and uses object-storage for extreme scalability and reliability. Chroma Cloud is fast and cheap. Leading AI companies such as Factory, Weights &amp; Biases, Propel, and Foam already use Chroma Cloud in production to power their agents. It brings the “it just works” developer experience developers have come to know Chroma for - to the Cloud.<p>Try it out and let me know what you think!<p>— Jeff

[API/SDK] Launch HN: Reality Defender (YC W22) – API for Deepfake and GenAI Detection Hi HN! This is Ben from Reality Defender (<a href="https:&#x2F;&#x2F;www.realitydefender.com">https:&#x2F;&#x2F;www.realitydefender.com</a>). We build real-time multimodal and multi-model deepfake detection for Fortune 100s and governments all over the world. (We even won the RSAC Innovation Showcase award for our work: <a href="https:&#x2F;&#x2F;www.prnewswire.com&#x2F;news-releases&#x2F;reality-defender-wins-most-innovative-startup-at-rsa-conference-2024-innovation-sandbox-302137326.html" rel="nofollow">https:&#x2F;&#x2F;www.prnewswire.com&#x2F;news-releases&#x2F;reality-defender-wi...</a>)<p>Today, we’re excited to share our public API and SDK, allowing anyone to access our platform with 2 lines of code: <a href="https:&#x2F;&#x2F;www.realitydefender.com&#x2F;api">https:&#x2F;&#x2F;www.realitydefender.com&#x2F;api</a><p>Back in W22, we launched our product to detect AI-generated media across audio, video, and images: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=30766050">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=30766050</a><p>That post kicked off conversations with devs, security teams, researchers, and governments. The most common question: &quot;Can we get API&#x2F;SDK access to build deepfake detection into our product?&quot;<p>We’ve heard that from solo devs building moderation tools, fintechs adding ID verification, founders running marketplaces, and infrastructure companies protecting video calls and onboarding flows. They weren’t asking us to build anything new; they simply wanted access to what we already had so they could plug it in and move forward.<p>After running pilots and engagements with customers, we’re finally ready to share our public API and SDK. Now anyone can embed deepfake detection with just two lines of code, starting at the low price of free.<p><a href="https:&#x2F;&#x2F;www.realitydefender.com&#x2F;api">https:&#x2F;&#x2F;www.realitydefender.com&#x2F;api</a><p>Our new developer tools support detection across images, voice, video, and text — with the former two available as part of the free tier. If your product touches KYC, UGC, support workflows, communications, marketplaces, or identity layers, you can now embed real-time detection directly in your stack. It runs in the cloud, and longstanding clients using our platform have also deployed on-prem, at the edge, or on fully airgapped systems.<p>SDKs are currently available in Python, Java, Rust, TypeScript, and Go. The first 50 scans per month are free, with usage-based pricing beyond that. If you’re working on something that requires other features or streaming access (like real-time voice or video), email us directly at yc@realitydefender.com<p>Much has changed since 2022. The threats we imagined back then are now showing up in everyday support tickets and incident reports. We’ve witnessed voice deepfakes targeting bank call centers to commit real-time fraud; fabricated documents and AI-generated selfies slip through KYC and IDV onboarding systems; fake dating profiles, AI-generated marketplace sellers, and “verified” influencers impersonating real people. Political disinformation videos and synthetic media leaks have triggered real-world legal and PR crises. Even reviews, support transcripts, and impersonation scripts are increasingly being generated by AI. Detection remains harder than we first expected since we began in 2021. New generation methods emerge every few weeks that invalidate prior assumptions. This is why we are committed to building every layer of this ourselves. We don’t license or white-label detection models; everything we deploy is built in-house by our team.<p>Since our original launch, we’ve worked with tier-one banks, global governments, and media companies to deploy detection inside their highest-risk workflows. However, we always believed the need wasn’t limited to large institutions, but everywhere. It showed up in YC office hours, in early bug reports, and in group chats after our last HN post.<p>We’ve taken our time to make sure this was built well, flexible enough for startups, and battle-tested enough to trust in production. The API you can use today is the same one powering many of our enterprise deployments.<p>Our goal is to make Reality Defender feel like Stripe, Twilio, or Plaid — an invisible, trusted layer that you can drop into your system to protect what matters. We feel deepfake detection is a key component of critical infrastructure, and like any good infrastructure, it should be modular, reliable, and boring (in the best possible way).<p>Reality Defender is already in the Zoom marketplace and will be on the Teams marketplace soon. We will also power deepfake detection for identity workflows, support platforms, and internal trust and safety pipelines.<p>If you&#x27;re building something where trust, identity, or content integrity matter, or if you’ve run into weird edge cases you can’t explain, we’d love to hear from you.<p>You can get started here: <a href="https:&#x2F;&#x2F;realitydefender.com&#x2F;api">https:&#x2F;&#x2F;realitydefender.com&#x2F;api</a><p>Or you can try us for free two different ways:<p>1) 1-click add to Zoom &#x2F; Teams to try in your own calls immediately.<p>2) Email us up to 50 files at yc@realitydefender.com and we’ll scan them for you — no setup required.<p>Thanks again to the HN community for helping launch us three years ago. It’s been a wild ride, and we’re excited to share something new. We live on HN ourselves and will be here for all your feedback. Let us know what you think!

[Other] Show HN: Memori – Open-Source Memory Engine for AI Agents Hey HN! I&#x27;m Arindam, part of the team behind Memori (<a href="https:&#x2F;&#x2F;memori.gibsonai.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;memori.gibsonai.com&#x2F;</a>).<p>Memori adds a stateful memory engine to AI agents, enabling them to stay consistent, recall past work, and improve over time. With Memori, agents don’t lose track of multi-step workflows, repeat tool calls, or forget user preferences. Instead, they build up human-like memory that makes them more reliable and efficient across sessions.<p>We’ve also put together demo apps (a personal diary assistant, a research agent, and a travel planner) so you can see memory in action.<p>Current LLMs are stateless — they forget everything between sessions. This leads to repetitive interactions, wasted tokens, and inconsistent results. When building AI agents, this problem gets even worse: without memory, they can’t recover from failures, coordinate across steps, or apply simple rules like “always write tests.”<p>We realized that for AI agents to work in production, they need memory. That’s why we built Memori.<p>Memori uses a multi-agent architecture to capture conversations, analyze them, and decide which memories to keep active. It supports three modes:<p>- Conscious Mode: short-term memory for recent, essential context. - Auto Mode: dynamic search across long-term memory. - Combined Mode: blends both for fast recall and deep retrieval.<p>Under the hood, Memori is SQL-first. You can use SQLite, PostgreSQL, or MySQL to store memory with built-in full-text search, versioning, and optimization. This makes it simple to deploy, production-ready, and extensible.<p>Memori is backed by GibsonAI’s database infrastructure, which supports:<p>- Instant provisioning - Autoscaling on demand - Database branching &amp; versioning - Query optimization - Point of recovery<p>This means memory isn’t just stored, it’s reliable, efficient, and scales with real-world workloads.<p>We’ve open-sourced Memori under the Apache 2.0 license so anyone can build with it. You can check out the GitHub repo here: <a href="https:&#x2F;&#x2F;github.com&#x2F;GibsonAI&#x2F;memori" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;GibsonAI&#x2F;memori</a>, explore the docs, and join our community on Discord.<p>We’d love to hear your thoughts. Please dive into the code, try out the demos, and share feedback, your input will help shape where we take Memori from here.

[Other] Show HN: Typed-arrow – compile‑time Arrow schemas for Rust Hi community, we just released <a href="https:&#x2F;&#x2F;github.com&#x2F;tonbo-io&#x2F;typed-arrow" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;tonbo-io&#x2F;typed-arrow</a>.<p>When working with arrow-rs, we noticed that schemas are declared at runtime. This often leads to runtime errors and makes development less safe.<p>typed-arrow takes a different approach:<p>- Schemas are declared at compile time with Rust’s type system.<p>- This eliminates runtime schema errors.<p>- And introduces no runtime overhead — everything is checked and generated by the compiler.<p>If you’ve run into Arrow runtime schema issues, and your schema is stable (not defined or switched at runtime), this project might be useful.

[DevOps] Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.

[Other] Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-powered automations. Save time, boost productivity, and unlock the true potential of n8n in just a few clicks.

[Other] Manage Git and shell aliases fast on macOS A tiny desktop app to mTiny, open-source macOS app to view, add, and edit Git aliases and shell aliases. Built quickly to solve a real itch. It’s beta and I’d love feedback. PRs welcome. The icon is temporary 😅

[Other] Save Google Drive "View Only" PDFs in one click Drive PDF Exporter is a Chrome extension that lets you save Google Drive "View Only" PDFs. It loads every page, retries automatically if something fails, and exports the full document locally, all directly in your browser.

[Other] Convert Base64 code to images instantly online Convert Base64 code to image online in seconds. Simply paste your Base64 string and instantly download the decoded image – quick, easy, and free!

[Other] Turn Your Terminal Sessions Into Incident Runbooks Your runbook, but better.

[Other] Generate sample files of various types and sizes in seconds. Native macOS app for instant test file generation. Create PDFs, images, videos, CSVs & more locally on your Mac. No internet needed, files never leave your device. Perfect for developers & QA testing uploads, validations, and edge cases.

[Other] animations,dark mode, responsive an attribute based css framework to build stunning responsive animated websites in lightspeed with new 4500 attributes from( dblack,lwhite,dark-btn)to,(responsive,pulseball-move-1)

[Other] Fresh perspectives on tech, AI, and the future MashBlog is your source for the latest in technology, AI, programming tutorials, and startup insights. Read expert articles, coding guides, and industry trends written for developers, founders, and tech enthusiasts.

[Other] Easily Connect Power BI and Jira Connect Jira and Power BI without technical barriers. Our connector features unlimited exports, full custom field support, JQL filtering, as well as a no-code option. Perfect for teams who need comprehensive reporting without the hassle.

[Other] The first AI-powered reporting tool for git repositories AI-powered Git reporting automation. Connect GitHub & Bitbucket for smart reporting, and get your team progress insights easily.

[Testing] QA Agent for Mobile Apps Autosana connects directly to your repo(s), embeds into your CI/CD, creates end-to-end testing with natural language, and reports failures and bugs directly to you and your team. Slash deployment times & catch bugs before users do.

[API/SDK] Usage-based billing saas toolkit Complete toolkit for implementing usage-based billing for your SaaS, API, or open-source project

[Database] EloqKV, a distributed database with Redis compatible API (GPLv2 and AGPLv3)

[Other] IMDB Terminal Browser