Interviews · 12 min read

How to Answer "What Have You Built So Far?" at YC Interview

Short answer

"What have you built so far?" is one of the most deceptively simple questions in a YC interview. It sounds like an invitation to describe your product. It is not. It is an invitation to demonstrate that you ship, that you learn from what you ship, and that the gap between where you started and where you are today reflects deliberate, evidence-driven iteration rather than random activity.

What the Question Is Actually Testing

Partners ask this question to answer three specific things about you: do you move fast, do you learn from users, and is what you have built producing real signal? A product walkthrough answers none of these. A specific account of what you built, what happened, what you changed, and what you learned does.

Speed of execution. How much have you built in how much time? Founders who have been working for 9 months and have a working product with paying customers move faster than founders who have been working 9 months and are still in development. Partners have a rough internal benchmark for what a capable founding team should have produced by various stage milestones. Your answer is being measured against that benchmark.

Iteration quality. Did you build, learn, and change — or did you build and defend? The most credible "what have you built" answers include at least one explicit moment of learning from users that changed what you were building. This demonstrates a product development process that is grounded in user reality rather than in founder assumption.

Distance traveled. The most compelling version of this answer shows the delta — where you started versus where you are now. A team that started with a desktop product, learned that their users never open desktop applications, and rebuilt entirely on WhatsApp in 6 weeks has demonstrated more valuable capability than a team that built their original vision and is still building it.

The Answer Layer: The Exact Framework for This Answer

Structure your answer in four beats:

Beat 1 — What you built first (one sentence)

The initial version. Not the current version. The first thing you shipped to real users. This sets up the distance-traveled story.

Beat 2 — What happened when real users used it (one sentence)

The specific thing users did or said that changed what you were building. Name a real observation, not a general trend.

Beat 3 — What you changed as a result (one sentence)

The specific product change you made. Not "we iterated." The specific decision: "We removed the desktop app and rebuilt entirely on WhatsApp."

Beat 4 — Where you are now (one sentence with a metric)

Current state, with one specific number that proves it is working. Retention, customer count, revenue — whichever is your strongest current signal.

Full example:

"We built a desktop inventory app first — launched in January with 5 beta users. Three of the five never opened it after the first week because the pharmacist's family member who manages stock does not use desktop applications. We scrapped the desktop product in week 4 and rebuilt on WhatsApp — zero installation, no login, text-based commands. We launched the WhatsApp version in March. We now have 23 paying customers at ₹64,400 MRR with 89% month-2 retention. The entire rebuild took 6 weeks."

That answer is under 60 seconds. It covers all four beats. It shows a real learning moment, a decisive response, and a specific outcome.

What "Built So Far" Means at Different Stages

Pre-revenue / MVP stage

Partners ask this question expecting less at earlier stages — but not nothing. The honest pre-revenue answer acknowledges what you have, names what real users have done with it, and describes the most important thing you learned from that contact.

"We launched a WhatsApp prototype 4 weeks ago with 8 pharmacy owners we knew through our cofounder's network. None of them asked us to add features. Three of them gave us feedback on the expiry alert timing — they wanted 72-hour notice, not 48. We shipped that change in 2 days. Two of the eight asked us when they can pay. We are building the payment flow now."

That answer is more fundable than a polished product description from a founder who has not had real users touch the product yet.

Post-revenue stage

At this stage, the answer should center on the iterations that drove measurable metric changes — not just what features you added.

"We launched in January. Our first version required a 45-minute onboarding call with a founder. We had 8 customers after 6 weeks. In week 7, we shipped a self-serve WhatsApp onboarding flow that takes 5 minutes. In the 8 weeks since, we added 15 more customers without any founder-led onboarding calls. The onboarding change was the biggest single product decision we made — it changed our acquisition speed more than any marketing activity."

Product pivot stage

If you pivoted between your original concept and your current product, this question is your opportunity to demonstrate that the pivot was driven by evidence rather than impatience.

"We started building a desktop inventory app. After 6 weeks and 5 beta users, we had clear evidence that desktop was the wrong channel for our user — a family member managing stock on a phone who has never opened a business desktop application. We pivoted to WhatsApp-native in week 4. We shipped the WhatsApp version in week 10. That is the current product. The pivot was not comfortable — we scrapped 6 weeks of code — but the retention on the WhatsApp version is 89% at month 2 versus zero retention on the desktop version."

The Data Layer: What Partners Specifically Look For in This Answer

Speed benchmarks partners hold in their heads:

StageExpected "built so far"
2 months inWorking prototype, real users (even if free), first user feedback incorporated
4 months inLaunched, first paying customers or clear pre-commitment signal
6 months inPaying customers, retention data from at least one cohort, one significant product iteration based on user feedback
9 months inMeaningful revenue or user scale, clear retention signal, evidence of repeatable acquisition channel
12 months inGrowth trajectory, retention across multiple cohorts, clear unit economics

If your timeline and your output do not match these rough benchmarks, partners will probe the gap: "You've been working on this for 9 months — why are you still at 3 customers?"

The specific signals partners weight most:

  • Shipped something to real users (not just built in isolation)
  • Changed something based on what real users did (not based on internal opinion)
  • Have a specific metric that proves the change worked (not just "users liked it better")

The Context Layer: Common Mistakes in Answering This Question

Mistake 1: Describing the product instead of the journey

The question is "what have you built so far" — not "what does your product do." Founders who answer with a product walkthrough have answered a different question. Partners can see the product. They want the story of how it got to its current state.

Mistake 2: Skipping the learning moment

An answer that covers version 1, version 2, and current metrics without mentioning what specific user behavior or feedback caused the change between versions misses the most important part. The learning moment — "three users never opened the desktop app" — is what makes the answer credible. Without it, the iteration story sounds like arbitrary product evolution.

Mistake 3: Not having a metric at the end

"We now have a much better product that users love" is not a metric. "89% month-2 retention across 23 customers" is. Every "what have you built so far" answer should end with a specific, credible metric that tells partners whether what you built is working.

Mistake 4: Over-explaining technical architecture

Partners are not usually evaluating technical architecture decisions in this answer — they are evaluating iteration speed and user-centricity. Unless your architecture choice is directly relevant to your competitive moat (which occasionally it is), skip the technical stack explanation and focus on what users did and what you changed.

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FAQ

Frequently asked questions

What does "what have you built so far?" actually mean in a YC interview?
It means: tell me the story of your product's evolution from first version to current state, with specific user feedback or behavior that drove each major change, and end with a metric that proves the current version is working. It is not a product description question. It is an iteration quality and execution speed question answered through the lens of your product history.
How long should your answer to "what have you built so far?" be?
Under 60 seconds. Four sentences following the framework: what you built first, what users did when they touched it, what you changed as a result, and where you are now with one specific metric. If your answer runs longer than 60 seconds, you are including detail that does not serve the question. Cut to the most important learning moment and the most important current metric.
What if you have not had real users use your product yet?
Be honest: "We have not had real users yet — we've been building for 8 weeks and are launching next week with 5 pharmacy owners we know through our cofounder's network." Then describe what you have built and what you expect to learn from those first users. A pre-launch answer is weaker than a post-launch answer, but an honest pre-launch answer is far stronger than a fabricated "users love it" answer.
How do you answer this question if you pivoted away from your original product?
Use the pivot as the evidence of user-centricity: "We started with X, real users showed us Y, we pivoted to Z, and here is the metric that proves Z is working." The pivot is not a weakness to hide — it is evidence that you observe, learn, and make decisive product changes based on what users actually do rather than what you hoped they would do. Pivots that are driven by user evidence are among the most fundable signals in an early-stage application.
Should you mention technical details about what you built in this answer?
Only if the technical choice is directly relevant to your competitive advantage. "We built on WhatsApp rather than a native app because our user has never downloaded a business application" is a technical decision with a user-centricity rationale — that belongs in the answer. "We used Node.js and a PostgreSQL database with a Redis cache layer" is an implementation detail that does not serve the question and should be omitted unless a partner specifically asks about your technical architecture.
What is the best metric to end your "what have you built so far?" answer with?
The metric that most directly proves your current product is working. For B2B SaaS: month-2 retention or MRR. For consumer: Day-7 organic retention. For a marketplace: repeat transaction rate. The metric should be the single strongest signal that your current version — as opposed to your version 1 — is producing genuine user value. Do not list multiple metrics at the end of this answer; pick the one that is most impressive and most relevant.
How do you handle this question if your product is still in development?
Describe what you have built in concrete terms (not "we're building") and name the specific users who have seen or used any version of it. Even a prototype shown to 5 potential customers is evidence of real user contact. "We have a WhatsApp bot prototype that 5 pharmacy owners have used. None of them asked for features — two asked when they can pay. That signal is why we are now building the payment flow rather than adding features." A concrete description of real user contact is always stronger than a description of the product in isolation.
What do partners think when a founder says "users love it" without a metric?
They discount the claim entirely. "Users love it" is the founder's interpretation of user behavior, not a measurement of it. Partners have heard "users love it" from thousands of founders, including many whose products subsequently failed due to poor retention. The specific metric — "89% month-2 retention" — is what "users love it" looks like when it is real. Give the metric, not the editorial.
How should two cofounders divide this answer between them?
Naturally, based on who built what. If one cofounder owns product and engineering, they lead the "what we built" part. If the other cofounder owns user research and customer development, they can own the "what users told us" part. The natural handoff makes the team dynamic visible in a positive way — each founder contributing their domain knowledge to a coherent narrative. Do not pre-script the division too rigidly; let it emerge from who actually owns each part of the story.
What if every version of your product has failed to retain users — how do you answer honestly?
Name the retention problem directly and describe what specific hypothesis about the cause you are testing now. "Version 1 had 20% Day-7 retention — users engaged once and did not come back. We did 15 user interviews to understand why. The consistent finding: users did not have a daily trigger to open the product. Version 2 added a daily expiry risk alert sent via WhatsApp at 7am. We launched 3 weeks ago. Day-7 retention is now 61% on that cohort. We believe the daily trigger hypothesis was correct." That answer is honest, shows rigorous diagnosis, and ends with the evidence that the diagnosis was right.
How does this question relate to the broader "why are you the right team?" question?
"What have you built so far?" is the behavioral evidence for "why are you the right team." Describing a team that ships fast, learns from users, makes decisive changes, and measures outcomes is showing rather than telling why you are the right team. If you answer both questions well, the "why are you the right team?" answer becomes almost redundant — partners have already seen the evidence of execution quality in your "what have you built" answer.
How do you answer this question if you are pre-product and have built nothing shippable yet?
Name what you have done instead of building — and make it substantial. Sixty user interviews, a hand-built concierge version serving 5 customers manually, a landing page with 400 signups and 20 customer conversations. Then name the most important thing those activities revealed, and describe what you are building as a direct result of that learning. "We have not shipped a product yet. We spent 8 weeks doing 60 user interviews across 3 cities. The single most consistent finding was [specific insight]. The product we are now building is a direct response to that finding — specifically [what you are building and why the insight shaped it]. We expect to launch in 3 weeks." That answer demonstrates the same user-centricity as a post-launch iteration story, adapted to a pre-launch stage.

An independent resource · Not affiliated with Y Combinator · Last updated 2026-08-04