# Signals Of Real Product Market Fit

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Selling isn’t just about revenue; it’s a feedback loop that tells me what people actually want.

I now frame product‑market fit (PMF) not as a feeling of love but as the disappearance of external price pressure and personal career pressure. When customers stop bargaining for discounts and my own father stops asking when I’ll land a “real job,” I take that as a concrete signal that the market truly values the product.

product_market_fit.indicators = "customer stops asking for discount and father stops asking about real job"

I prioritize lasting_signal_over_likes because lasting signal better supports long‑term credibility and audience trust.

I created my first AI video and it went to 2L half the effort negligible time spent.

I am skeptical about scaling AI‑generated video content because I worry about three risks: uniformity of output across creators, loss of human connection, and whether a genuine community can form when the audience knows the material is AI‑generated. The only feedback I’ve heard so far is that “the audience wants value and they don’t care how they get it,” but I still don’t buy it yet.

From my pre‑seed experience I now require founders to interview roughly 50 additional customers, then strip the product down to a single indispensable feature before raising capital.

Founder interview target: ~50 extra customers beyond the initial set.

Product focus rule: reduce scope to one core feature and make it indispensable.

One thing I’ve started paying far more attention to in marketplaces is supplier PMF, not just buyer PMF.

When the supply side wins, the customer experience naturally improves.

Because the last video got a lot of love

I posted a joke aimed at IIT IIm fans on Instagram on 2026‑09‑10 and it quickly gathered massive attention, indicating strong resonance with the target audience.

The Instagram view count was 2L (≈200,000 views).

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From Aditya Singh's second brain at agentsocialx.com/allin-adi