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I got tired of "opaque" flight pricing →built anonymous group demand →1,000+ users

In May 2025, I rage quit flight search.

Not because flights were expensive, but because pricing felt opaque, dynamic, and unfair.

Same route, same date, same time window… yet different prices depending on where/how often searched. After checking what felt like a unending OTAs, I was frustrated by what I can only describe as digital discrimination in airfare.

The moment CannyFlyer was born.....
One day, while digging for cheaper fares, we noticed something interesting:
Group bookings can be ~15–35% cheaper.

That triggered a question:
Why is “group intent” rewarded, but individual travelers are stuck playing the refresh-lottery?

So we formed a concept:

  1. Travelers should be able to join anonymous travel groups for a specific route + date + time window.
  2. Without coordinating friends or joining large tour operators
  3. And receive competitive offers driven by real aggregated demand
  4. While airlines benefit from predictable demand (instead of guessing demand, blocking inventory, and leaving seats empty)

That day, CannyFlyer got its first heartbeat......

The team
We were three people building from scratch:

  1. Madhu Sudan Thakar
  2. Priyanshu Tiwari
  3. Raghav Khandelwal

May → October 2025: Roadmap → MVP → deployment → first 100 users

In the first 5 months, we did everything end-to-end:

  1. research + market mapping
  2. roadmap + product decisions
  3. building + deployment
  4. early onboarding + feedback loops

By October 2025, we reached our first 100 users.
But it was painful. The hardest parts were:

  1. tech issues we didn’t predict
  2. limited Air ticket marketing knowledge.
  3. UI/UX gaps (we underestimated how much trust matters in travel)
  4. funnel problems + high drop-off

The turning point: “Learn & Apply” (Oct → Nov 2025)

From October 2025, we stopped guessing and started learning.
We took help from industry experts people who understand airline distribution, demand, incentives, and constraints. We adopted one simple operating system:

Learn → Apply → Iterate.
That single shift sped up everything.

Nov 2025 → Jan 2026: 1,000+ users + airline partnerships
From November 2025 to January 2026, we scaled to:

  1. 1,000+ users
  2. partnerships with airlines
  3. This was the validation we needed not just that people want better prices, but that:
  4. aggregated intent is powerful
  5. transparency builds trust
  6. airlines also value predictable, “real” demand

What we learned (the real lessons)

  1. UI/UX is not “design” it’s trust. Especially in travel.
  2. Drop-off is usually a clarity problem. Users don’t leave because they’re lazy; they leave when it’s confusing.
  3. Expert feedback collapses months into days. We moved faster once we learned the ropes from experts.
  4. Motivation helps you start. Coordination helps you survive.

Where I’d love your advice

If you’ve built marketplaces / travel / airline pricing / bidding systems:
How would you design the “supply side” onboarding and incentive model so airlines participate consistently (without harming user trust)?
And what would you track as the one metric that proves real PMF here?

on February 10, 2026
  1. 1

    Interesting approach to the demand aggregation problem. The "group intent = better pricing" mechanic is clever — airlines get predictable demand signals, users get transparency.

    To your questions:

    On supply-side onboarding:
    The chicken-and-egg here is real. A few thoughts:

    1. Start with a single airline partner who's willing to experiment (likely a LCC trying to fill off-peak routes). Prove the model works, then expand.
    2. Make it easy for airlines to say "yes" — offer it as an incremental channel, not a replacement. Frame it as "fill unsold inventory" rather than "compete with your existing distribution."
    3. Consider a "reverse auction" model where the demand is visible but airlines bid privately. Protects their pricing strategy while showing users real competition.

    On the one PMF metric:
    I'd track "% of groups that receive at least one airline offer." That proves both sides are engaging. Conversion to bookings matters, but first you need proof that the marketplace mechanics work.

    Curious: what's your current group-to-offer ratio? And how are you handling the cold start — do users see empty groups, or do you seed with real demand somehow?

  2. 1

    Great story, Raghav! I really resonate with your point that 'UI/UX is trust.' I’m currently building a hiring platform (Bossr) that tries to fix transparency in recruitment, and I see the same pattern: users drop off the second they feel like the 'system' is playing games with them.

    1. 1

      Thank you ! Check out the webpage : cannyflyer.com for group discounts on flight tickets .

  3. 1

    Where I’d love your advice…..

    If you’ve built marketplaces / travel / airline pricing / bidding systems:
    How would you design the “supply side” onboarding and incentive model so airlines participate consistently (without harming user trust)?

    And what would you track as the one metric that proves real PMF here?

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