PostHog VS Causal App
Compare PostHog VS Causal App and see what are their differences
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next.
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PostHog
Mixpanel
Amplitude
Plausible.io
Google Analytics
Hotjar
Fathom Analytics
LaunchDarkly
Causal App
Forecastr
Fuelfinance
Finmark
Runway Financial
PrometAI
Pry Financials
ChartMogul
For developers just starting out, PostHog is a free way to understand how your product is being used, without having to send any data to 3rd parties.
For enterprise customers, one data security becomes a key concern, or B2C businesses where using a SaaS solution is unaffordable, it's typical to see teams hosting an event capture platform, a data lake, and sophisticated analytics tools. The end result is that data scientists are needed and most developers don't have easy access to product intel. PostHog solves that gap - it lets everyone understand how your product is being used, without having to send data to 3rd parties, even once you have scaled to millions of visitors.
It has a JS snippet that can autocapture events, and pre-built libraries to push backend data to. Build up full user histories, visualize product trends, funnels, and run experiments with new features.
PostHog Causal AppPostHog is particularly well-suited for product teams, developers, and startups that require deep insights into user interactions and need the flexibility of a self-hosted solution. It is also a good fit for organizations that prioritize data privacy and want to maintain full control over their data.
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Based on our record, PostHog should be more popular than Causal App. It has been mentiond 73 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
What it deliberately does not have: accounts, cloud sync, a marketplace, Or any paywall. Telemetry is opt-in, off by default, anonymous, and collects Zero content — the endpoint is configurable if you'd rather self-host PostHog. It's free software, and it will stay that way. - Source: dev.to / about 1 month ago
Opus, zero nudges. Realised on its own that an abandoned signup never fires identify, triangulated the anonymous session from time, platform and registration events, decoded the PostHog replay blobs, confirmed the duplicate account in Supabase, proved the reset email never sent, and pulled the root cause out of an unmasked DOM field. One prompt in; root cause out. - Source: dev.to / about 2 months ago
This is the same model that PostHog, Supabase, and dozens of other developer tools use. Open core, with a managed offering on top. - Source: dev.to / 5 months ago
Offchain: Website traffic, in-app behaviour, marketing channels, growth campaigns (Google Analytics or PostHog). - Source: dev.to / 4 months ago
--- Title: "Validate Your Startup Idea in One Weekend: Next.js + PostHog + Stripe Test Mode" Published: true Description: "A step-by-step workshop for wiring up a landing page with analytics, a waitlist, and Stripe test-mode checkout to measure real willingness-to-pay before writing product code." Tags: typescript, api, architecture, cloud Canonical_url:... - Source: dev.to / 5 months ago
Financial planning tools are another major category. Causal, a financial planning platform, integrated with customers' accounting systems to pull financial statement data into an AI-powered modeling tool. Users connect their QuickBooks or Xero account, and the platform auto-generates financial models with metrics like burn rate and runway, updated on a recurring schedule. Cash flow data is especially valuable... - Source: dev.to / 2 months ago
This is exactly what I loved about the Causal app (no affiliation). They started as a general purpose spreadsheet with 'Amb' cells built-in, though later on they seem to have converged on the financial modeling space. [0]: https://causal.app/. - Source: Hacker News / over 1 year ago
It looks like Causal (https://causal.app) has pivoted to focus on businesses. There are a lot use cases for individual users to build models with probabilistic parameters that are no longer possible due to the high cost (example: https://netlify.causal.app/buy). Is there another spreadsheet + probabilistic model parameter tool available for individual users? - Source: Hacker News / almost 2 years ago
IMO the better paradigm is coming from enterprise applications like Anaplan. Cells are not the right abstraction to work with numbers. Most of the time you work with multi-dimensional quantities (eg revenue by product, geography, month). We’re working on a more approachable implementation of that paradigm at https://causal.app. - Source: Hacker News / about 2 years ago
We're using Hypertune at https://causal.app for a few months now and it's been great! We have a few feature flags in there but also some more complex typed data for our onboarding modals. - Source: Hacker News / about 3 years ago
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Forecastr - Forecastr is a seed-stage, B2B SaaS startup that has raised over $3M in capital, and has gone through the Techstars accelerator program.
Amplitude - Chart Your Path to Growth with Digital Analytics
Fuelfinance - We do your 📂 spreadsheets, 📈 graphs, and 🔮 automations.
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺
Finmark - Financial planning software for startups