FastStats is in closed beta. Request an invite on Discord. Discord: https://discord.com/invite/SKnDU5VwMS

Why should I use FastStats?

FastStats offers you advanced insights, like error-tracking and time-series analysis. You can visualize your charts and customize your dashboards to fit your needs, and export your data at any time.

Is FastStats open source?

Parts of FastStats are open source today: Java SDK CLI Data collection service The web app is planned to open source after public launch. Licensing details are still being worked out.

Product analytics that actually makes sense

Errors, replays, web vitals, funnels, and retention - all in one platform.

Start for free

Closed beta - Join Discord · Plugins/mods

Interactive Demo coming soon

See it in the product

Stack traces, session timelines, vitals scores, funnel drop-offs, and cohort tables—all from the same workspace.

Debug

Error Tracking

Catch bugs before users report them. Full stack traces, breadcrumbs, and context on every error.

Stack TraceContextComments

#509817

Cannot invoke "net.milkbowl.vault.economy.Economy.getBalance(org.bukkit.OfflinePlayer)" because "this.economy" is null

2m ago·Paper·v2.4.1

java.lang.NullPointerException: Cannot invoke "net.milkbowl.vault.economy.Economy.getBalance(org.bukkit.OfflinePlayer)" because "this.economy" is null

at com.example.shop.economy.EconomyHook.getBalance(EconomyHook.java:47)

at com.example.shop.commands.ShopCommand.onCommand(ShopCommand.java:112)

at org.bukkit.command.PluginCommand.execute(PluginCommand.java:45)

at io.papermc.paper.command.brigadier.bukkit.BukkitCommandNode.run(BukkitCommandNode.java:91)

Session Replays

Watch exactly what users did—clicks, inputs, page views, and console output synced to one timeline.

Analytics

Web Vitals

Track LCP, INP, and CLS from real visits so regressions surface before they ship.

Funnels

Map every step of the user journey to pinpoint exactly where conversions break down.

Homepage12,500

100%

-30%

Product View8,750

70%

-50%

Add to Cart4,375

35%

-40%

Checkout2,625

21%

-40%

Purchase1,575

12.6%

Retention

Cohort retention shows who keeps coming back, so you know what to double down on.

Cohort Retention

Users returning each week after first visit

Cohort	Users	Wk 0	Wk 1	Wk 2	Wk 3
Jan 27	3,142	100%	52%	—	—
Jan 20	2,891	100%	48%	41%	—
Jan 13	2,654	100%	51%	43%	36%
Jan 6	2,412	100%	49%	42%	35%
Dec 30	2,089	100%	47%	39%	32%

Low

High

FAQ

Frequently asked questions

Everything you need to know about FastStats. Can't find what you're looking for? Reach out to our team on Discord.

Start understanding your users today

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