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We didn't expect this. We came in hoping to make it to the top 5 and woke up at #1 Product of the Day!

Something that surprised me while building this week: "OpenAI-compatible" is a statement about the API shape, not about how code edits are expressed inside it.

Aider does not use tool calls. It sends edits as structured text blocks SEARCH/REPLACE delimiters inside the assistant message. The filename is on the line before the fence, not inside it. Cline and Continue use proper tool calls. A response from some backends carries both.

The adapter we shipped this week (`openai_chat.py` in the LineageLens proxy) handles all three patterns: tool-call edits, text-content edits (Aider SEARCH/REPLACE, unified diffs, fenced blocks), and mixed responses where both appear together. It covers Aider, Cline, Continue, Copilot CLI, Goose, Windsurf, and any OpenAI-compatible backend Azure, groq, fireworks, mistral, together.ai.

The hardest design decision was not the parsing. It was fail-open vs. fail-safe. If capture logic throws an error, do you surface it (fail-safe) or swallow it and pass through (fail-open)? We chose fail-open. A proxy that occasionally interrupts a developer's coding session gets uninstalled. Governance with a 60% retention rate is strictly worse than governance with 95% retention.

You probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits by default, including for code that Copilot never wrote. Microsoft reverted it in 1.119. Good.

But the revert is the wrong ending to the right story.

The developer anger was about consent and accuracy both valid. What did not get picked up in the discourse was the architectural question underneath: even when Copilot does write code, a git trailer tells you almost nothing useful. It does not carry the prompt, the model version, the temperature, the insertion timing, the correlation confidence, or any risk context. It just says "an AI tool existed in this editor."

That is not an audit trail.

Hey everyone!

Today's the big day, Mirage is officially live on Product Hunt!

Write up your ideas for feature or iterations over the product! Wanna see what you guys think

We launched Mira on Product Hunt today, and the conversations in the comments have been the most interesting part of the whole day.

Researchers asked about probe neutrality whether the follow-up questions an AI asks mid-interview can lead a participant, rather than uncover them. They asked about cultural calibration, whether emotion models trained largely on Western data can accurately read a participant in Jakarta or Nairobi. They asked whether the say/feel mismatch gets surfaced as raw evidence or quietly resolved into a single confidence score.

These are serious questions. And they made me realize something: the bar for trust in AI-moderated research is fundamentally different from other AI tools.

If a writing assistant gets something wrong, you catch it before you publish. If an AI coding tool hallucinates, your tests fail. But if a research tool misreads how participants felt during a concept test, and that feeds into a product decision, the error is invisible. By the time the product ships and the market responds, the research moment is long gone.

As a hiring manager, I couldn't trust resumes. My team wasted so much time on screening calls, only to find the candidates weren't a match. There was no real proof-of-work, and with AI now writing resumes, the noise is just getting worse.

As a candidate, it was just as frustrating. My past work didn't help me get better roles; it felt like I was starting over every single time because my performance signals were buried in old company HR tools that no one could see.

Hey all

We just launched Wobo on Product Hunt today. It's an AI agent that applies to jobs for you. You swipe on a role and it fills out the real company career page, writes a tailored resume + cover letter, and submits.

There are so, so, many email apps out there:
Superhuman, Hey, Slashy, Cowork gmail plugin, Spark Mail, Proton mail, Spacemail, Titan, Shortwave, Alfred, Canary, Spike, Tuta, Skiff, Icloud, Zoho, Yahoo (if it counts even).

But has any one of us tried it before? Why/Why not?

Hey everyone, I'm Long, CEO of Spira AI. Nice to meet everyone here!!

Quick background: I was a founding member and Head of Product at Creatify AI, and founding member of TikTok Creative, CapCut, and Meta Video Ads. I've spent basically my whole career around social media content and how it travels, which is probably why this particular problem has bugged me for years.

Recently the thing that got me: I kept watching friends launch great products, get a nice spike, and then go completely quiet weeks later. Not because the product got worse, they just put their heads back down to build and stopped sharing, and the momentum died in that silence.

We launched Browser Notes on Product Hunt with one simple idea:

Your thoughts should stay yours.

No signup.
No forced cloud sync.
Everything stays inside your browser.

REST API, Conversational Forms, Section Field, Multiple Confirmations, Backend Entry Management, Pre-built Themes, Google Sheets integration...

Everything you've been waiting for is here!

85% off for Product Hunt - only a few hours left.

With the current fast-moving nature of tech and everyone AI-coding, we wanted to have a quieter, slower space for learning and reading. We're going back to traditional docs but with a twist to keep things engaging and still in our pedagogical style.

Our docs currently support English, Spanish, Portuguese, Chinese, Hindi, Japanese, and Korean, and all content is translated including any supporting graphics. We also offer three levels of depth for reading (Beginner, Intermediate, and Deep Dive) so you can switch between these whenever you like to get a more comprehensive understanding of a certain concept.

There will also be quizzes, projects, and exercises within docs to still bring in that practical side of applying what you've learnt. Our aim is to have all our main courses paired with supporting docs, so that is in the works and we'll release these as time goes.
There is also a feedback and doc recommendation button to share your thoughts and help us shape these docs.
Check it out! https://docs.scrimba.com/

Brick builds are hard to read on a flat screen.

A piece can hide inside a layer. A weak spot can stay invisible until you pick the build up. And one enthusiastic camera move can fling the whole thing off-screen.

Earlier, I shared why we removed most of DROP. The next step is now live: DROP is focused on helping creators sell digital files from one buyer-ready page.

The current flow brings together:

• paid digital product pages;

• checkout and secure file delivery;

• search-ready launch pages;

• revenue tracking.

We are measuring the full acquisition path rather than pageviews alone: external visit product view checkout purchase.

Introducing NeuralOS: The AI Operating System.

Intelligence stops being an app you open and close, it becomes the OS itself, the computer itself! Your computer just knows you.

Huge shoutout to everyone who supported the launch: AirKaren finished #5 Product of the Day on Product Hunt yesterday, and we re also the lead story in today s Product Hunt daily newsletter.

Thank you to everyone who upvoted, shared feedback, tested the product, and helped spread the word. It s an awesome early milestone and a really encouraging signal that this problem resonates.

As builders, we often focus on creating features, improving design, and fixing problems.

But before someone uses a product, there is another challenge:

Trust.

People need to understand:

Over the past few months, we've been spending most of our time in the terminal while building SolonGate.

At some point, opening the web dashboard started feeling... unnecessary.

So we built a CLI that lets you manage your entire workspace without leaving your terminal.

You can inspect activity, manage policies, configure DLP, adjust rate limits, review audit logs, switch accounts, and more.

We ship constantly as a small team, and we've been on a roll launching to Product Hunt every week for over 2 months now for different features (see our launch history). Each time I worry it reads as "this again?"

Our current strategy: launch features like they're products. Give the feature its own name, own story, own audience, and don't lean on the company's history to sell it.

Heard something on a podcast recently that reframed how I think about retention features.

On average it takes ~60-70 days for a new behavior to feel automatic. But motivation, the thing that gets people to start, decays way faster than that. So there's a gap: motivation dies around week 2-3, the habit isn't formed until week 9-10, and that gap is where most users quit.

Streaks are supposed to bridge that gap. But most of them fail because the daily ask is too big. If your streak requires real effort every day, you're burning motivation the user doesn't have anymore.

I've hit day 40 on an app purely out of guilt, then quit and never opened it again. The streak didn't build a habit. It just delayed the uninstall.

This year again, Supabase surveyed 2,000+ startup founders to uncover what's powering modern startups: their stacks, their GTM motion, and how they approach AI.

Many things have changed between 2025 and 2026.

We just shipped SCIM provisioning (check it out!) and it got me reflecting on how much enterprise infrastructure we've built over the past year.

When we started selling upmarket, our answer to most security questionnaire items was "not yet." Today the checklist looks pretty different:

• SSO (SAML and OIDC): authenticate through the identity provider your company already uses

• SCIM provisioning: users, groups, and memberships sync automatically from Okta or Entra as people join, move teams, or leave

• RBAC: groups with fine-grained permissions on data sources, dashboards, chats, automations, and MCP servers

• Row-level security: control which rows each person can see, and the AI respects those policies in every query it runs

• SOC 2 Type II: audited annually, encryption in transit and at rest

• Audit logs: who accessed what data and when

• Self-hosting: deploy in your own network with Docker or Kubernetes, bring your own AI model keys, and align with HIPAA, ISO 27001, GDPR, or PCI-DSS requirements

I am new to this platform. We develop both software and hardware products, but since our software is designed to integrate with the hardware, we will likely be showcasing the hardware itself.

After browsing the content posted here over the past few days, I noticed a strong focus on software, so I wanted to ask:

1. Is this platform hardware-friendly?

2. Are links to Kickstarter allowed? (I ask because many platforms prohibit linking to it.)