I looked into a few of their launches and what stood out wasn t a secret hack.
It was how little they tried to launch.

Their tagline isn t hype.
It s literal. Write, edit, and chat about your code with AI.

No buzzwords. No promises. Just what it does.

The pattern is simple:

This debate often gets framed as Should researchers use AI for literature reviews?

I think the real question is different.

Is it ethical to spend hundreds of researcher hours on mechanical work when that time could be spent advancing actual knowledge?

Think about a researcher spending an entire weekend searching papers, skimming irrelevant abstracts, copying citations, and fixing references. That s not insight or discovery. That s overhead.

What s worked for us looks very different from spray-and-pray.

We ve learned that outbound works when it s intentional at every step.

A few things that made the biggest difference for us:

Getting the ICP really right. Sometimes the first outreach isn t to the buyer, but to someone who can open the door.
Personalization isn t optional. Company context, role, recent updates. Generic gets ignored fast.
Channels are chosen by output, not comfort. We double down on what actually converts.
The first message rarely works. Conversations usually start around the third or fourth touch, if there s value each time.
Timing matters more than volume. Funding news, hiring, social posts. Showing up when the problem is top of mind changes everything.
We focus on relationships, not just pipeline. Some buy later. Some refer. All conversations compound.
Context before calls helps. If someone engages multiple times, the conversation feels very different.
Signals matter. Engagement often tells you when to reach out, not just who.

AI is moving fast. Every day there s a new tool promising leverage. Most don t stick.

In 2025, the tools that mattered weren t the flashiest.
They were the ones that quietly saved time on work I already did every day.

Some are now non-negotiable.
Others are on my watchlist because they could replace entire steps, not just speed them up.

What AI tools actually earned a permanent spot in your workflow in 2025?
And which ones do you think will matter in 2026?

Over time, I ve realized how much effort we put into our websites on landing pages, pricing, testimonials, product tours and yet, most visitors only ever deeply interact with one or two sections depending on your ICP.

• For developer-first products, that s usually docs.

• For consumer apps, maybe it s onboarding or pricing.

• For enterprise tools, perhaps case studies or ROI calculators.

The rest is mostly noise or at least secondary.

It made me wonder:

Almost every team building usage-based or credit-based pricing I ve talked to says something like:

We just have to aggregate events, multiply with a price, and send it to Stripe.

Shouldn t take more than a week.