Obviously AI vs PostHog
A detailed comparison to help you choose between Obviously AI and PostHog.
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Verdict: PostHog wins
PostHog scores 4.4/5, edging out Obviously AI at 3.6/5. Engineering-led product teams that want analytics, session replay, flags and error tracking in one open-source platform and are willing to configure event design and sampling deliberately.
Obviously AI Build ML models in one click | PostHog Product analytics platform with built-in session replay and feature flags | |
|---|---|---|
| Rating | 3.6 (1 review) | 4.4 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | From $75/mo | Free tier available |
| Best For | Business analysts at small companies who need scored, explained predictions from spreadsheets and CRMs without hiring a data scientist. | Engineering-led product teams that want analytics, session replay, flags and error tracking in one open-source platform and are willing to configure event design and sampling deliberately. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | no codeapi access | free tieropen sourceapi access |
| Visit Obviously AI → | Visit PostHog → |
Obviously AI
Pros
- + Free plan is real rather than a trial: 1,200 predictions and one seat with a full model build, no sales call (obviously.ai/pricing)
- + Every prediction comes back with named drivers and is callable through a REST API, so scores can feed a CRM directly instead of a report
- + The Software + Data Scientist tier puts a named master's/PhD-level data scientist on your Slack or Teams for model building and data cleaning
- + Clear published ceilings per tier (Startup: 1 use case, 100 MB, 1M rows; SMB: 3 use cases, 1 GB, 100M rows), so upgrade triggers are visible before you hit them
- + Handles classification, regression and time-series forecasting in one interface with the same upload flow
Cons
- - No dollar prices anywhere on the vendor pricing page at time of writing — every paid tier routes to a signup or demo
- - Free tier exhausts in a single serious scoring run: 1,200 predictions, one seat, one-row-one-prediction metering
- - Startup plan caps at one use case and 100 MB of files, which a real multi-model team meets in the first fortnight
- - Little control over algorithm selection or feature engineering, so practitioners cannot audit or contest the model choice
- - Seed-stage vendor with no disclosed funding since May 2021 and reported headcount in the 1-10 range — a continuity risk for production pipelines
PostHog
Pros
- + Free tier resets monthly and covers real work: 1M events, 5K recordings, 1M flag requests and 100K exceptions per month, with every feature available and no credit card
- + Funnel-to-replay-to-error-trace in one timeline replaced a three-tool debugging loop I used to run across separate user IDs
- + Self-hosting under MIT keeps event data inside your own infrastructure — the practical answer I recommend for regulated teams
- + No seat-based pricing at all; adding engineers, PMs and analysts to my projects never changed the bill
- + Billing limits are hard caps you set yourself, so a runaway autocapture config stops at your ceiling instead of at a surprise invoice
Cons
- - Session replay, not analytics, became the largest cost line in my test project once traffic passed the 5K free recordings
- - The interface packs nine-plus products into one navigation; new users I onboarded needed a full day before finding the right tool consistently
- - Self-hosting is a genuine ops burden (ClickHouse, Kafka, Postgres) and the self-hosted build lacks SAML SSO and granular permissions
- - Identified events cost nearly 4x anonymous events in the first paid band, so user-identification choices move the bill more than event volume does
- - Past a billing limit PostHog drops data until the next period — cost control comes at the price of visibility
Frequently Asked Questions
Which is better, Obviously AI or PostHog?▼
PostHog scores higher at 4.4/5 vs 3.6/5 for Obviously AI, making it the better-rated option in our comparison.
What is the difference between Obviously AI and PostHog?▼
Obviously AI: Obviously AI builds and runs machine learning models on tabular data without code, producing predictions and explanations from a spreadsheet or database. PostHog: PostHog is an open-source product analytics platform that combines event analytics, session replay, feature flags, A/B testing and error tracking in one tool for product and engineering teams.
Is Obviously AI or PostHog more affordable?▼
Obviously AI starts at €75/mo, PostHog starts at €0/mo. Check the comparison table above for current pricing.
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