Like many makers right now, I'm reflecting on the year.
And I want to share something that matters to me.
Mockin is now #1 on Google for "mock interviews for designers".
No ads.
No budget.
Just trust and support from the design community.
This means a lot.
It reminds me how powerful it is when designers support each other.
@Mockin started as a mock interview tool.
Today it's an AI career toolkit that helps UX/UI and Product designers apply to jobs, prepare for interviews, and reflect on their growth through structured self-assessment interview.
Thank you for being part of this.
More coming soon.

I bet you learned and experienced a ton over the past 365 days. All those lessons are pure gold you can carry into the future, especially into 2026.

So, what s the single most valuable piece of business advice you would give your 2026 self right now?

Most people think AI will take over every tech job, and knowing code is irrelevant I strongly disagree. Let me explain why.

AI can write code faster than most of us, sure. But three skills matter more than ever in a world where everyone just vibes it:

We re constantly sharing feedback, reporting bugs, and discussing ideas yet those conversations are usually scattered across private tickets, closed chats, or platforms that trade transparency for reach. Important insights get buried, repeated, or lost, and users rarely get to see how their feedback actually shapes a product.

That s the gap we wanted to explore with Sceptrum Community.

This community is built to be open by default, but intentional about privacy and quality. Discussions are public so knowledge isn t locked away, identities are real to reduce noise, and conversations are structured so useful feedback can stand out instead of getting lost in the crowd.

The idea isn t to create another social platform, but a focused space where users can report issues, suggest improvements, and help each other while knowing their contributions matter and remain visible. Less noise, fewer duplicates, and more meaningful collaboration.

Hi PH! :) We ve launched on Product Hunt twice now.

• Our first launch was a few months ago.

• Our second launch happened more recently.

As of today, we re at $5.1k MRR.

That didn t happen overnight.

Hey everyone we just launched the LLM Chat Scraper series. If you need large-scale LLM Q&A data that reflects the actual responses users see in the web UI, this might help:

• Supports ChatGPT, Perplexity, Copilot, Gemini, Google AI Mode

• Captures front-end (web UI) responses unaffected by logged-in context/state

• Web search support included so you get full citation data when the model references sources

• We only bill for successful captures; failed/error requests are not charged

• DM or comment if you want free credits to try it out

Use cases: dataset creation, model evaluation, R&D on hallucination/source tracing, trend & sentiment monitoring, prompt engineering corpora.

Happy to answer questions or share sample outputs. Leave a comment or DM for trial credits.

I was doubting myself about whether I should post this. It's hard to share your real story in front of thousands of people and not be critical about it. But it s out !

All the slides from the HubSpot x Pretty Prompt event - Preview here

Feels a bit cringe. But you do what you have to do to grow your company, and maybe these learnings help other builders scale their products as we did.

Hey PH!

Quick backstory: I'm building a SaaS and needed to find potential users on Reddit. But manually scrolling through subreddits looking for relevant threads? Absolute time sink.

I wrote a long essay following a talk I gave at AI DevCon in Brooklyn last month.

It starts out with an anecdote about hunting ChatGPT in December 2022 and goes on to explore what I think will be necessary to thrive as code becomes a commodity:

In December 2022, I hunted ChatGPT on Product Hunt.

It ranked #1 product of the day, then the week, and went on to be named Product of the Year.

Having co-founded a YC-backed conversational AI startup in 2018 (long before LLMs) I recognized in ChatGPT the missing ingredient that would have made that venture viable.

The future we d anticipated had arrived. I could revisit my old problem, or I could expand my area of potency by raising and deploying my own venture capital fund.

I chose the latter.

Three years later, on December 9th, I watched a 24-hour window on Product Hunt cross 500 launches roughly double what I observed throughout the preceding 825 days. Only 13 were featured; most were unremarkable.

The LLM has fundamentally shifted the economics of software development.

As someone with a dual vantage point being the #1 Product Hunter while investing in AI startups I watch the floodwaters rise in real-time.

What s become clear: SaaS is dying; VC is withering . Building software is not uniquely compelling. Code has become a commodity.

What most people miss about commoditization is that when a product or resource becomes abundant, it doesn t just get cheaper. It unlocks new and previously uneconomic uses.

I'm building My Financ , which is a tool that allows you to understand your finances, and plan for the future.

I launched on PH in September, got some users and have been iterating.

We just wrapped the Orbit Awards for AI Dictation and now we re moving to the next category: AI Automation.

This one is for the tools that actually do work for you clearing chores, running workflows in the background, or quietly taking over a chunk of your week without turning into another dashboard you have to babysit.