Crowdspawn

Find where your players already are,
and who else they love,
before launch day.

Try
See a sample planAdvanced: pick comps yourself

An agent picks comparable games, then ranks cities and partners with live Qloo data, showing every step.

Spawn map: the bigger a city's crowd, the more your players over-index there18. Tokyo, JP: spawn score ×0.54, high confidence1817. Seoul, KR: spawn score ×0.78, high confidence1716. Chicago, US: spawn score ×0.82, high confidence1615. Los Angeles, US: spawn score ×0.84, high confidence1514. New York, US: spawn score ×0.85, high confidence1413. Toronto, CA: spawn score ×0.88, high confidence1312. Mexico City, MX: spawn score ×0.89, high confidence1211. Sydney, AU: spawn score ×0.93, medium confidence1110. Berlin, DE: spawn score ×0.94, medium confidence109. London, GB: spawn score ×0.95, medium confidence98. Paris, FR: spawn score ×0.96, medium confidence87. Sao Paulo, BR: spawn score ×1.01, low confidence76. Jakarta, ID: spawn score ×1.05, medium confidence65. Dubai, AE: spawn score ×1.06, medium confidence54. Mumbai, IN: spawn score ×1.08, medium confidence43. Warsaw, PL: spawn score ×1.12, high confidence32. Delhi, IN: spawn score ×1.13, high confidence21. Istanbul, TR: spawn score ×1.21, high confidence1
Top spawn points
top 3 crowd over-indexes below average · 1 tile = +0.02 spawn score · drag to explore

Sample run for Long Haul, a simulation, driving, relaxing game, with comps Farming Simulator 22, SnowRunner, BeamNG.drive. Each crowd shows how much a city over-indexes on taste and platform together. Open the plan

Store tags describe your game. This describes your players.

  1. Name your rivals
    Pick 1-5 comparable games. Qloo confirms each one exists.
  2. Name your setting
    Add films, shows or artists from the place your game draws on. Qloo finds their fans.
  3. Watch the spawn map fill
    Qloo scores 33 cities on taste, platform and culture, live.
  4. Recruit allies
    Artists, podcasts, films and brands this audience over-indexes on, with Qloo's reasons.
  5. Take the battle plan
    A budget split and a brief where every claim links to the Qloo call behind it.

How accurate is it?

We hid 23 games with no home-country setting, then checked which country Google Trends ranks first for a real shipped game like each one. The top market was found in:

Crowdspawn (Qloo spawn score)1 of 23top 3: 1 of 23
LLM only (gemma4:31b)4 of 23top 3: 7 of 23
Popularity (all gamers, no game signal)0 of 23top 3: 1 of 23

On these games an LLM without Qloo data found it more often than Crowdspawn's ranking, and the ranking has a city bias: Stockholm came first for 9 of the 23 games. Trends measures search interest, not sales, and the samples are small. Use the ranking as a starting hypothesis, not a forecast.

Partners are where Qloo differs most. Asked for artists for 20 different games, an LLM without Qloo data repeated the same names: 32% of its picks came up for 3 or more games, against 5% of Qloo's. Every plan shows the comparison side by side.

The audience data checks out. Qloo's gender skew orders 10 genres the way a survey of about 270,000 gamers does (ρ 0.997). An LLM's guess matched too (ρ 0.991), but Qloo measures it for your exact comp set.

See every game and baseline

Honest limits

  • It's an affinity index from taste data, not a sales or wishlist forecast.
  • New indie games are usually not in Qloo yet, so everything runs through comparable games.
  • If Qloo is unavailable, Crowdspawn refuses to make a plan rather than guess.
  • The AI only proposes names and writes words. Qloo must find every game, place and artist, and any number the AI writes is checked against Qloo's results. No personal data is used anywhere.
  • The country ranking has not beaten an LLM without Qloo data on games with no real-world setting (see How accurate is it?), and a Steam-review backtest on 6 shipped games lost to plain popularity. Use it as a starting hypothesis and test with small campaigns.