AI visibility report for TrackJS
Vertical: Error Tracking & Crash Reporting
AI search visibility benchmark across 5 platforms in Error Tracking & Crash Reporting.
Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Perplexity
Google AI Mode
Gemini Search
ChatGPTOverview
TrackJS is a bootstrapped, JavaScript-specialist error monitoring service founded in 2013 and headquartered in Stillwater, Minnesota. Built by a small engineering team, it captures production errors from browser and Node.js environments and surfaces them with a proprietary Telemetry Timeline—a chronological log of network requests, user interactions, console logs, and navigation events leading up to each error. The product is deliberately narrow in scope: no session replay, no heatmaps, no full-stack APM. Plans are priced by monthly page-view traffic rather than error volume, positioning TrackJS as aligned with customer success rather than failure rates. An AI Code Debugger, added in 2025, analyzes error telemetry to suggest fixes. Customers include Microsoft, IKEA, Bloomberg, Atlassian, Venmo, and eBay.
TrackJS is a focused JavaScript error monitoring platform that automatically captures production errors from web browsers and Node.js servers, enriching each error with a Telemetry Timeline of pre-error events to accelerate root-cause diagnosis. It offers unlimited ignore rules, source map integration, AI-assisted debugging, and discoverable filtering—all in an 8 KB agent with no end-user cookies or session recording.
Key Facts
- Founded
- 2013
- HQ
- Stillwater, Minnesota, USA
- Founders
- Todd Gardner, Eric Brandes
- Employees
- 1-10
- Customers
- ~1,000
- Status
- Private (Bootstrapped)
Target users
Key Capabilities10
- JavaScript error monitoring for browser and Node.js environments
- Telemetry Timeline: chronological pre-error log of network requests, user interactions, console events, and navigation
- Unlimited server-side ignore rules for filtering third-party and low-signal errors
- Source map support for minified and TypeScript code debugging
- AI Code Debugger: analyzes telemetry and source to suggest fixes
- Error grouping, trend analysis, and one-click discoverable filtering
- Error status tracking (e.g., Fixed, Investigating) and team comments
- Custom domain forwarding to bypass ad blockers
- Traffic-based pricing with unlimited error submissions
- Web Worker and unhandled Promise rejection monitoring
Key Use Cases8
- Catching production JavaScript errors before users report them
- Debugging AI-generated or third-party JavaScript in production
- Frontend error monitoring for React, Angular, and Next.js applications
- Node.js server-side error tracking for Express-based APIs
- Shopify theme and e-commerce storefront error monitoring
- Reducing error noise from browser extensions, bots, and unsupported browsers
- Version-correlated error tracking across continuous deployments
- Proactive alerting on new, trending, or spiking errors
Recent Trend
How AI describes TrackJS3
...lications, the error tracking SDKs with the lowest initial page-load overhead and native async/lazy-loading support are TrackJS , Sentry (via Loader Script) , and OpenTelemetry . Choosing the right option requir...
What's the easiest error tracking and crash reporting platform to integrate into a React Native app for both iOS and Android from a single SDK?
TrackJS * Highlights: Lightweight client-side error tracking with a small footprint (often cited as under 10KB gzipped).
Which error tracking SDKs have the lowest page load overhead and offer async or lazy-loading options to minimise impact?
prateeksha +1 4. TrackJS or Bugsnag (as options) * TrackJS: Simple, strong client-side error monitoring with a straightforward setup for Next.js apps; useful if you want lightweight client monitoring plus a basic SSR story via your API routes.
What are the best error tracking tools for a Next.js app that handles both server-side and client-side rendering without doubling up on error events?
Most cited sources8
- T20
5 Best Frontend Error Monitoring Tools in 2026 • TrackJS
trackjs.com·Comparison
- T14
Rollbar vs BugSnag - Compare Pricing & Features in 2026 • TrackJS
trackjs.com·Comparison
- T14
BugSnag vs Rollbar - Compare Pricing & Features in 2026 • TrackJS
trackjs.com·Comparison
- T6
JavaScript Error Monitoring • TrackJS
trackjs.com·Comparison
- T6
Error Monitoring on Client- and Server-Side in NextJS 14+ • TrackJS
trackjs.com·Comparison
- T5
Rollbar vs Sentry - Compare Pricing & Features in 2026 • TrackJS
trackjs.com·Comparison
Alternatives in Error Tracking & Crash Reporting6
TrackJS positions itself as the JavaScript-specialist alternative to broader observability platforms.
- Its core differentiators are: (1) frontend-only focus—deliberately no session replay, heatmaps, or backend APM—keeping complexity and cost low; (2) traffic-based pricing rather than per-error pricing, arguing that competitors 'profit when you fail'; (3) bootstrapped independence, actively marketing stability and alignment of incentives as a counterpoint to VC-funded rivals; and (4) the Telemetry Timeline, which TrackJS claims to have pioneered in 2014, giving developers a chronological pre-error event log without requiring full session recording.
- TrackJS self-positions as cheaper and simpler than Sentry for pure frontend needs and considerably cheaper than Rollbar.
Reviews
Praised
- Easy integration and quick setup
- Telemetry Timeline provides rich pre-error context
- Intuitive and clean dashboard
- Highly responsive customer support
- Effective at surfacing corner-case production bugs
- Useful error frequency and user-impact visibility
- Customizable filtering and ignore rules
Criticized
- UI design feels dated and could be improved
- Short data retention windows on lower plans
- Low review volume limits peer benchmarking
TrackJS holds a 4.7/5 rating on G2 across 20 reviews, with 85% five-star and 15% four-star scores and no reviews below four stars. Reviewers consistently highlight the ease of integration, the quality of error context provided by the Telemetry Timeline, responsive customer support, and the intuitive dashboard. The primary criticism is that the UI design could be improved. The review volume is modest given the company's size and niche focus.
Pricing
Three self-serve tiers, billed monthly or annually (annual saves one month).
- Starter
$49/month ($45 annualized)—100K page views, 1 application, 10-day retention, 3 alert channels, unlimited users and ignore rules.
- Professional
$99/month ($91 annualized)—1M page views, 5 applications, 15-day retention, unlimited alert channels.
- Business
$199/month ($183 annualized) starting at 5M page views, scaling to 100M; 10+ applications, 30-day retention, SAML SSO, dedicated support. Enterprise and custom plans available. Discounted plans for bootstrapped developers and non-profits. Free trial with no credit card required. No per-error charges; errors are rate-limited per minute by plan but never billed.
Limitations
- JavaScript/Node.js only—company states it is unlikely to add other backend language support.
- No session replay, heatmaps, or behavioral analytics (by design).
- Data retention is short: 10 days on Starter, 15 days on Professional, 30 days on Business.
- Per-minute error rate limits apply on all plans (20/min Starter, 60/min Professional, 90/min Business).
- Very small team (2–3 people) may limit pace of feature development.
- Limited review volume on third-party sites reduces social proof compared to larger competitors.
- Single application on Starter plan may be restrictive for agencies or multi-project teams.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Perplexity | ChatGPT | Grok | Google AI Mode |
|---|---|---|---|---|---|
Capability4/5 cited (80%) | |||||
Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace? | |||||
Which error tracking platforms handle background job errors as well as request-response errors from a web server? | |||||
Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time? | |||||
Which error tracking tools offer the best PII scrubbing and GDPR compliance features for stripping sensitive fields from payloads before they leave the browser? | |||||
Which platforms offer both error tracking and full session replay in one tool — and when does a team actually need both together? | |||||
Developer Experience4/5 cited (80%) | |||||
Which error tracking platforms automatically capture the most useful context — breadcrumbs, user state, request data — so engineers can reproduce bugs without user help? | |||||
What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place? | |||||
Which error tracking tools handle deduplication and grouping best to reduce alert fatigue when a single bug triggers thousands of duplicate events? | |||||
Which error tracking platforms integrate best into a developer's normal workflow — IDE plugins, chat notifications, or built-in triage dashboards? | |||||
Which error tracking platforms offer the best release tracking so teams can tell whether a new deploy made error rates better or worse? | |||||
Integrations & Ecosystem1/5 cited (20%) | |||||
Which error tracking platforms integrate natively with observability stacks — metrics, tracing, and logs — so you don't need two separate dashboards? | |||||
Which error tracking tools integrate best with on-call and incident management systems to page the right person when a critical error spikes? | |||||
Which error tracking platforms have the best two-way sync with issue trackers so bugs automatically get created and closed in the right project board? | |||||
Which error tracking platforms offer the best webhook and event streaming support for building internal tooling on top of error data? | |||||
What tools help teams correlate error tracking data with feature flag releases to automatically flag which deployment introduced a regression? | |||||
Performance & Reliability4/5 cited (80%) | |||||
What event volume limits should I expect from error tracking platforms at scale — and which ones have the most predictable pricing as volume grows? | |||||
Which error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events? | |||||
Which error tracking platforms handle error storms gracefully when a bad deploy suddenly generates millions of events per minute? | |||||
Which error tracking SDKs have the lowest page load overhead and offer async or lazy-loading options to minimise impact? | |||||
Which error tracking platforms offer the best sampling rate controls to manage cost and noise in production without missing critical low-frequency errors? | |||||
Setup & First Run4/5 cited (80%) | |||||
I'm migrating error tracking to a new platform — which tools make it easiest to preserve historical data and recreate alert rules? | |||||
Which error tracking platforms handle source map uploads well so you see original TypeScript line numbers instead of minified bundle references? | |||||
What are the best error tracking tools for a Next.js app that handles both server-side and client-side rendering without doubling up on error events? | |||||
Which error tracking platforms are designed for microservices architectures where errors in one service can cascade into others? | |||||
What's the easiest error tracking and crash reporting platform to integrate into a React Native app for both iOS and Android from a single SDK? | |||||
Strengths3
Which error tracking platforms automatically capture the most useful context — breadcrumbs, user state, request data — so engineers can reproduce bugs without user help?
Avg # 1.0 · 1 platform
Which error tracking platforms offer the best sampling rate controls to manage cost and noise in production without missing critical low-frequency errors?
Avg # 4.0 · 1 platform
Which error tracking tools handle deduplication and grouping best to reduce alert fatigue when a single bug triggers thousands of duplicate events?
Avg # 12.0 · 2 platforms
Gaps5
What are the best error tracking tools for a Next.js app that handles both server-side and client-side rendering without doubling up on error events?
Competitors on 4 platforms
What event volume limits should I expect from error tracking platforms at scale — and which ones have the most predictable pricing as volume grows?
Competitors on 4 platforms
Which platforms offer both error tracking and full session replay in one tool — and when does a team actually need both together?
Competitors on 4 platforms
Which error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events?
Competitors on 3 platforms
What's the easiest error tracking and crash reporting platform to integrate into a React Native app for both iOS and Android from a single SDK?
Competitors on 3 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Sentry | 44.8% | 42.7% | 35.2% | 16.0% | 44.8% | #22.9 | +0.35 |
| 2 | Rollbar | 33.6% | 20.7% | 16.8% | 16.0% | 32.8% | #35.4 | +0.33 |
| 3 | Bugsnag | 25.6% | 18.1% | 20.8% | 0.8% | 25.6% | #39.7 | +0.32 |
| 4 | LogRocket | 18.4% | 4.9% | 3.2% | 3.2% | 18.4% | #23.4 | +0.38 |
| 5 | TrackJS | 17.6% | 5.7% | 0.8% | 5.6% | 16.8% | #23.8 | +0.33 |
| 6 | Raygun | 16.8% | 5.0% | 1.6% | 16.0% | 16.0% | #30.6 | +0.37 |
| 7 | Embrace | 3.2% | 0.9% | 0.8% | 2.4% | 3.2% | #14.6 | +0.34 |
| 8 | Highlight.io | 3.2% | 1.7% | 0.8% | 0.0% | 3.2% | #53.8 | +0.55 |
| 9 | Airbrake | 1.6% | 0.3% | 0.8% | 0.0% | 1.6% | #52.5 | +0.30 |
| 10 | Instabug (rebranded Luciq) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 11 | Jam.dev | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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