Hey fellow Chyridians (yeah, we just decided that this is a term now),

after our launch here on product hunt last week, we gained more users than we could have imagined. So first of all, thanks a lot for that!

Along with our users came a lot of feedback and ideas for new features that we should add, one of them being embedded code-blocks and that is what we went for first! We are excited to announce that as of today, you can use the new Source Code block! This block will allow you to paste your code as well as select the programming language to allow for proper syntax highlighting when being rendered in the finished manual.

Public launch directly on Product Hunt vs going on Product Hunt a bit later.

I am looking to compare and learn from experiences of others.

PH launch is a must - so question is only about the timing.

I ve been in the growth seat at an AI ad platform (still in stealth ), and I keep running into the same question:

With tools like ChatGPT, Midjourney, and PMax...

Is it still worth hiring media buyers or creative teams for ad campaigns?

Not your planned channels I mean the totally random stuff:

A Reddit thread from 2017.

A niche Discord.

Someone s cousin's newsletter.

I'm talking to founders who struggle with trial-to-paid conversion. Most of the ones I've chatted with say the same thing:

"We get signups, but users go quiet after a few days. We have no idea what went wrong until they're already gone."

I believe this topic is relevant to you as well, since there are many company founders here at various stages of starting up or running their businesses.

Visual Capitalist shared the results of Glassdoor reviews, revealing which companies are most admired by their employees. (See the infographic below.)

Some tools just feel more reliable even if the backend models are similar. Is it the tone, layout, citations, or transparency of the process? What gives you confidence to act on what AI says?

The goal used to be raising capital.

Now it s generating MRR.

Thanks to AI and no-code tools, solo builders are pulling in $10K, $50K, even $100K/month no team, no funding, no gatekeepers.

They re not reinventing the wheel.

Could be a doc, a prototype, an internal tool, a website, a design system, a deck, a tiny app, a workflow.

Something that worked. That people loved internally.

But for some reason it stayed private.

I am Head of Marketing at Global AI Platform's US office in Silicon Valley, working on GTM for our app's US public availability launch this Summer'25. We re in the final stages of beta testing our mobile app (focused on meal and weekend planning), and we want to be intentional and avoid rushing just because we feel ready.

We re working on defining exit criteria the metrics, signals, and checkboxes that say:

Yes, it s time to move from beta to full release.

Hello PHers :)

I ve noticed a growing trend: more and more early-stage startups are skipping the classic "waitlist" launch and going straight to open access. Some argue it's more authentic and helps get traction faster. Others say waitlists build FOMO, gather valuable user data, and give time to polish the product.

Curious what the community thinks.

Just yesterday I prevented my team from adding an exotic feature to our product.

My hypothesis is that people don't like many features in a product as that complicates the product adoption e.g. many sales guys hate CRMs for this reason. In that sense, more features might equate to no features as users don't adopt/use the product. So, minimalistic products that solve 1 big problem (80% of the problem pie) is what people like.

That's what I think.

I noticed an interesting pattern in my surroundings:

1. People are very sensitive about their data (GDPR, etc.)

2. But the same people are willing to share their health, partner problems, intimate relationships, etc., with LLM.

Chat GPT becomes a therapist.

Building something in the SaaS feedback space (frustrated with how generic and expensive current tools are).

Was discussing positioning with Claude when it dropped this:

"Better features + Lower price + Specific focus = Market disruption. You own this specific category."

Just got back from MAU Vegas 2025, where I spent a few days nerding out on GTM tech stacks with folks from consumer apps, gaming, fintech, and lifecycle platforms. If you're building or scaling a mobile-first app, here s the distilled version of what top-performing teams are actually doing right now minus the vendor hype.

What s essential in 2025

The consensus was pretty clear: besides AI everything, the modern GTM tech stack for mobile apps boils down to five key components:

For us, it was rewriting our onboarding copy.

We spent weeks building features, fixing bugs, tweaking flows but people still dropped off after signing up.

Then one night, I rewrote the first three screens to sound more human. Less Welcome to [App]! and more:

Let s help you stop stressing about what to wear.

When it comes down to hardware my X feed is filled with two types of designs.

• Retro/nostalgic 2000's hardware that was defined by Gameboy translucent purples, Colorful macs, Sony's beautiful eclectic electronics, and embracing colors that pop like pink, purple, and orange.

• Sleek, modern, simple designs like the @Humane AI pin, @Limitless, @Friend, or the @omi.

I personally miss the fun days where consumer tech was wacky. Think Tamagotchi, Mini Clips, PSPs, and clear-shelled devices. I do see some like @Burner that have brought back some fun design but I'm curious... what does everyone think?
Should we bring back the weird or embrace the sleek, simple, and modern?

I ve launched a few small tools before, but I usually skipped the whole talk to people first step. I d just build, ship, and hope something stuck.

This time, I m trying something different. I started asking around about a pain I kept noticing, SaaS free trials and how hard it is to get meaningful feedback from users.

Getting a job is becoming increasingly difficult many applicants (high competition), automation and the replacement of tasks with artificial intelligence...

Now it's a miracle if someone opens your email.

The AI landscape keeps shifting fast, and Mistral AI s recent moves remind us that innovation rarely comes from just one giant. It s fascinating to see a new player emerge with fresh approaches to open-weight models and decentralized R&D challenging the idea that AI progress must be owned by a few massive companies.

This raises a bigger question:

Are we heading toward a more collaborative and open AI ecosystem, or will the big players always dominate the narrative?

Mistral s approach hints at a future where competition sparks creativity, but also where transparency and open research might unlock new breakthroughs faster. For builders and researchers alike, this is both exciting and a bit daunting.