Umang Chhaparia

Building AI-native storefronts for DTC brands. Cofounder @TruCommerce. IIT Bombay.

[Umang Chhaparia @umang147]

@paraschopra This looks extremely scary and exciting at the same time.

[Umang Chhaparia @umang147]

@labubu_trader Better targeting across previously non-monetizable queries expands advertiser reach and gives Google more inventory to scale revenue.

The constraint is relevance: if reach grows faster than intent quality, revenue may rise while advertiser ROI falls.

[Umang Chhaparia @umang147]

@jack Agents won’t only need a place to communicate. They’ll need portable identity, scoped permissions, provenance, and memory that survives across models.

The neutral coordination layer could matter more than any individual lab’s workspace.

[Umang Chhaparia @umang147]

@cognition @interaction Interesting combination: Poke brings personality and an interface people enjoy using; Devin brings reliable execution.

The agent race may be won by whoever combines capability with a relationship users want to return to.

[Umang Chhaparia @umang147]

@gaurav_ships This really resonates. Memory gets treated like a context-window problem when it is mostly a product and systems-design problem. Keen to read the paper.

[Umang Chhaparia @umang147]

@thePandaily It really comes down to having a proper harness for specialized use cases.

Plus, as these harnesses get better with actual usage, they stop competing with the underlying models and just start augmenting them.

[Umang Chhaparia @umang147]

@AndrewLolk Couldn't agree more. ChatGPT recos heavily overlap with Google Shopping listings these days.

So optimizing GMC data has basically become a fast track to getting better AI search visibility

[Umang Chhaparia @umang147]

@KUMAN_R The labels keep changing because the abstraction keeps moving outward: first the prompt, then the context, then the runtime, then the workflow.

Eventually, we may just call it software engineering again.

[Umang Chhaparia @umang147]

@pvergadia Models are becoming interchangeable. The real moat is the person who can translate messy organizational context into a scoped system, earn stakeholder trust, and get it adopted.

FDEs are the last mile of enterprise AI.

[Umang Chhaparia @umang147]

@ouchicom Google can claim billions of AI-search clicks, but the lack of tracking in GSC and GA4 leaves brands blind. If impressions, referrals, and conversions aren’t visible, the value can’t be measured or optimized.

[Umang Chhaparia @umang147]

@NEARProtocol Payments let agents transact. Identity, permissions, auditability, and dispute resolution are what will let humans trust them. The agent economy needs a control layer as much as a settlement layer.

[Umang Chhaparia @umang147]

@alex_prompter The two-pizza team was the ideal. AI just turned it into a one-pizza team

[Umang Chhaparia @umang147]

@denohawari it’s giving each page enough unique context and utility to deserve indexing. Automation creates the surface area; judgment and proprietary data create the value.

[Umang Chhaparia @umang147]

@lilyraynyc GEO recovery may ultimately be less about fighting one bot with another and more about adding the context, judgment, and human oversight that automated content lacks.

[Umang Chhaparia @umang147]

@paraschopra Trying to contain Chinese innovation has backfired on the US before.

This could do the same, and maybe hurt them even more.

[Umang Chhaparia @umang147]

@buildwithbulia You’ll never find out O.o

[Umang Chhaparia @umang147]

@abhayjani4 @TheProductfolks @basecampblr @MotwaniSuhas @rutabhatt @AKhandelwal11 @shivambhotika @vasubhagat011 @amruthajalihal @bansalvartika @ElevCap Bangalore tech week is shaping up to be quite a week

[Umang Chhaparia @umang147]

@nitinsharma1 @AntlerIndia @telljeeves @SirCribs_a_Lot @GowriShankarNag @raghavgoyal97 @jasnoorgill @Bhavnasuresh The most interesting signal will be which of these looks too niche today but is actually creating a new category.

That’s often much easier to see in hindsight. Looking forward to the lineup.

[Umang Chhaparia @umang147]

@HarryStebbings @FireworksAI_HQ The framework isn't dead, it's just no longer enough to prove you're an outlier. AI companies can manufacture extreme early growth before retention, margins and defensibility are clear.

Speed gets attention, but the quality of that growth still matters.