Options trading has a massive learning curve, and most educational resources either dumb it down to uselessness or throw you straight into the deep end with the Black-Scholes formula and wish you luck.

I'm a high school sophomore, and after getting interested in finance, I built StrikeLab an interactive options pricing education site that lets you actually play with the variables behind Black-Scholes (strike price, volatility, time to expiry, etc.) and see in real time how the option's value changes.

A few things I ran into building it:

• Making math intuitive without hiding it is genuinely hard. Most "beginner" explainers avoid the formula entirely, which means users never build real intuition.

• Volatility is the variable people understand least even people who trade options regularly. Visualizing it helped a lot.

• The gap between "I understand the concept" and "I can apply this" is where most learners fall off.

I've been building a Chrome extension to reduce the number of times I have to "fight" with AI before getting the answer I actually wanted.

After discussing with people on PH, my small tool has evolved:

Feature 1: Spots things you may have forgotten to mention: It checks your input while you are typing and catches the blind spots that you possibly need before you hitting "send".

Feature 2: Prompt Organization

We re building SuperPumped a leverage layer for prediction markets.

Prediction markets are growing fast, but traders still have to lock full spot capital because binary outcomes create gap-risk and make traditional liquidations hard.

Our MVP is focused on:

• Up to 5x leverage

• Auto-close before resolution

• Vault-based liquidity

• Private per-trade execution wallets

• Backtesting tools for traders

There's a piece of growth advice that won't die: "stop posting into the void, go reply to bigger accounts instead." I was skeptical, so I dug into whether the X algorithm actually rewards replies or whether it's just survivorship bias from people who'd have grown anyway.

The short version: there is a real mechanism. Replies aren't dead-end comments a reply on a post with reach can get surfaced to that post's audience and the wider conversation, so you borrow some of the original's distribution. But it's conditional. Low-effort replies ("so true ") go nowhere. The ones that travel add something concrete a counterpoint, a specific example, a number. And the whole thing only compounds if you show up daily, which is where almost everyone falls off.

All my life, I ve been building enterprise software starting companies, scaling products, and successfully exiting ventures.

This is the first time I m building a SaaS product for SMBs, and I quickly realized go-to-market here is completely different from enterprise sales driven by channel partners and RevOps teams.

What started as a conversation about how broken the job search feels for many candidates has become a product.

ApplyIn5 launches in 3 days, and I'm excited to finally share it with the world.

Alphabuster is a fast-paced word game where speed meets vocabulary. You have 2 minutes to form as many words as possible from your letter rack. Simple to learn, impossible to master, and highly addictive (don't say we didn't warn you).

Key Features:

been building agents for a while and kept hitting the same problem. fix a failure, change the prompt or model, same failure comes back quietly. nobody catches it until a user does.

built replayd to solve this. captures failed agent runs as regression tests and replays them before you deploy. if the same failure returns after a prompt, model, or tool change, it catches it.

the grading part was the interesting problem. can't use exact output matching because LLMs are non-deterministic. so instead of checking the text, it checks whether the specific failure came back. wrong tool called gets a hard assertion. policy violation gets an LLM judge.

v0.1.2, early but works end to end. zero runtime dependencies in the core.

Quick update for everyone following the SEAREI launch, we just shipped the infrastructure for SEAREI Studio, our next module. Brokers told us their websites are slow, inaccessible, and invisible to AI search. We're fixing it. First beta site goes live next week. Compliance + design + AI-readiness in one delivery. Appreciate every upvote and comment