battles / Analytics
AB Tasty vs FullStory
AB Tasty ($2,500/mo/mo, vibe code 3/10) vs FullStory ($850/mo/mo, vibe code 3/10). AB Tasty is the easier one to rebuild yourself — here is what you lose either way.
Analytics
$2,500/mo/mo
- MVP
- 2 weeks
- Full replacement
- 9-12 months, due to complex WYSIWYG DOM manipulation, low-latency edge deployment, and statistical confidence calculation engines
easier to rebuild
get the build prompt →Analytics
$850/mo/mo
- MVP
- 1 week
- Full replacement
- 12-24 months, due to massive DOM storage scale, real-time query engines, and client-side PII masking.
price gap / year
$19,800/mo
running both / year
$40,200/mo
our call
Start with AB Tasty — highest vibe code, weakest moat.
AB Tasty
Basic feature flags are trivial to build with open-source SDKs or edge workers. However, AB Tasty's true cost lies in its point-and-click visual editor for non-technical marketers, anti-flicker snippet engineering, and statistical analysis models.
you can rebuild
- Server-side feature flag evaluation
- URL-based page split testing
- Basic user traffic bucket allocation
- Event tracking trigger scripts
- Custom JS/CSS variant injection
what you lose
- No-code WYSIWYG visual page editor for marketing teams
- Automated anti-flicker script optimization for client-side rendering
- Bayesian and Frequentist statistical significance engine with SRM detection
- Multi-armed bandit traffic auto-rebalancing
- Audience segment building based on third-party CDP attributes
real moats
- Visual editor DOM mutation engine robust against complex SPAs and dynamic storefront frameworks
- High-throughput low-latency edge processing for variant assignments under strict SLA
- Enterprise security certifications (SOC2 Type II, GDPR consent compliance integration)
open source escape hatches
- GrowthBook MIT
- PostHog MIT / ELv2
- Unleash Apache-2.0
FullStory
Wrapping rrweb into a web app takes a few days, but storing millions of DOM diffs without killing client performance or ballooning cloud database bills requires serious infrastructure engineering. Client-side PII masking, SOC2 compliance, and fast event indexing cannot be prompt-engineered.
you can rebuild
- Client-side DOM event and mutation recording
- Basic session replay video playback
- Console logs and network request capturing
- Simple click and scroll heatmaps
- Basic funnel step tracking
what you lose
- Automated client-side PII and sensitive input field masking before data transmission
- Instant retroactive search over unindexed DOM text and element CSS selectors
- Frustration heuristics like rage clicks, dead clicks, and error clicks
- Enterprise compliance certifications including SOC2 Type II, HIPAA, and GDPR tooling
- High-throughput event ingestion infrastructure optimized for gigabytes of raw DOM diffs
real moats
- Patented client-side DOM capture and event compression engine
- Proprietary retroactive search index over raw DOM mutation streams
- SOC2 Type II, HIPAA, and strict client-side PII masking guarantees
open source escape hatches
- PostHog MIT
- OpenReplay Apache-2.0
- rrweb MIT
Questions people ask
Which is easier to rebuild with AI, AB Tasty or FullStory?
AB Tasty. It scores 3/10 on vibe code with a moat of 4/10, so an AI-assisted MVP takes about 2 weeks and a full replacement about 9-12 months, due to complex WYSIWYG DOM manipulation, low-latency edge deployment, and statistical confidence calculation engines.
Which one costs less, AB Tasty or FullStory?
FullStory at $850/mo/mo for a typical mid-market store. The gap between the two is about $19,800/mo a year.
What do I lose if I replace AB Tasty?
No-code WYSIWYG visual page editor for marketing teams Automated anti-flicker script optimization for client-side rendering Bayesian and Frequentist statistical significance engine with SRM detection
What do I lose if I replace FullStory?
Automated client-side PII and sensitive input field masking before data transmission Instant retroactive search over unindexed DOM text and element CSS selectors Frustration heuristics like rage clicks, dead clicks, and error clicks
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