I built The Optimism Engine to explore something simple but powerful:
How can AI help people think more clearly - without sounding generic or robotic?
The Optimism Engine is designed to guide users through structured cognitive reflection. When someone shares a stressful thought, the system:
Identifies possible cognitive distortions
Maps the thought through progressive layers (Surface Trigger Emotion Core Belief)
Chooses a response mode (regulate, clarify, reframe, plan, or listen)
Returns a grounded, non-templated response
The goal isn t just therapy, It s structured thinking.
Instead of giving advice, it helps users examine their interpretation, underlying fear, and next actionable step.
It was an interesting exercise in combining psychology frameworks with deterministic system design.
Curious to keep building at the intersection of AI and human cognition.

Now live: https://optimism-engine.vercel.app/

In building AI agents, the hard part was connecting them to the real world.

Gmail. Docs. Sheets. Slack.

And the scary part?

Once your agent can read emails or access files, you re handling extremely sensitive data.

I was using notes and writing My every day small and big expenses in natural language but, when end of the month it was very time consuming to seat and calculate entire month's log. So I build SmartSpend - Expense tracker. Just open app, type expense directly and AI will understand and log your expense. Month's end we can detailed insights of our spending habits. We can filter by categories, credit - debit, date wise, month wise and yearly with charts

Hey everyone,

OctoGames offers 2000+ free browser games for mobile and desktop, complete with a gamified profile and progress system.

We ve just launched - come relax, play, and welcome aboard!

https://www.producthunt.com/prod...

Ok, I don t want to brag ( ) buuuuut what if there were an app that creates tasks (like many others), but also uses LLMs to actually execute them through a behavioral, user-oriented approach?

Let me tell you how: it knows your priorities and goals. It knows your tasks and deadlines. It creates the perfect plan to help you prioritize your to-dos and mark them as done, without any headache.

And that s not all. It reads your calendar, your emails; creates tasks from the important ones, writes emails, and sends them out, all in one app.

My proud moment, guys! And shall I say that s still not all?

Summarize, suggest replies, send via Gmail. 10 hours/week saved. $0 subscriptions.
I built the NeuraClaw Email Agent because I was drowning in email.

50+ emails/day

2 hours reading and replying

Context switching destroyed my focus

Hello again, Product Hunt community

We often think "family tracker," but the core tech knowing a location solves many modern headaches. Here are some clever uses beyond keeping tabs on kids.

For Your Four-Legged Family: Pet trackers are a huge growth area, with the pet tech market projected to reach $23.8 billion by 2030. Modern GPS collars do more than just show a dot on a map. They can alert you if your dog leaves the backyard (geofencing), track daily activity levels, and even leverage special low-power networks for better battery life. It's safety and health insight for your adventurous companion.

For Your Valuable Assets: Ever wasted 20 minutes searching for your keys or wallet? Small Bluetooth tags attached to everyday items create a personal "Find My" network. Some services even integrate item tracking directly into their family safety app, so your phone, your kid, and your backpack are all on the same screen.

Hey Product Hunt community,

My co-founder and I aren t interior designers. We re tech builders who identified a massive inefficiency in how design expertise gets communicated.

Hey everyone

I just launched ForgeSQL, a visual database modeling tool built for developers who want to keep schemas, SQL, migrations, and Docker environments in sync.

The idea came from repeatedly seeing diagrams, SQL scripts, and migrations drift apart in real projects. ForgeSQL treats the diagram as the source of truth and generates consistent SQL (Postgres, MySQL, SQL Server, Oracle), Docker Compose, and versioned outputs.

It s early, and I m actively iterating based on feedback. If you ve dealt with schema drift, migrations pain, or manual DB modeling, I d really appreciate your thoughts.

Hi PH community,

I d love to learn from your experiences in building an app that leverages AI to improve user experience. For the context, conversation-based is popular for generative AI but sometimes it is not easy to set up within a product that does more than just information generation.

I'm curious: