PostHog
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Google Analytics
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Tracking Personal Finances using Python
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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 Tracking Personal Finances using PythonPostHog 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 seems to be a lot more popular than Tracking Personal Finances using Python. While we know about 73 links to PostHog, we've tracked only 3 mentions of Tracking Personal Finances using Python. 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
I'm continuing to work on Personal Finances Python [1], a book that teaches software developers how to track their finances using the Python ecosystem, Double Entry Bookkeeping, and a bunch of plain-text files. Apart from that, I recently started getting interested in the AT protocol ecosystem, so I built a directory [2] for discovering ATProto alternatives to mainstream/centralized products. [1]:... - Source: Hacker News / about 2 months ago
The best intro guide I've found is Siddhant Goel's book, Tracking Personal Finances Using Python. It's a paid product, but it's pretty affordable, and I think it's well worth the time you'll save by trying to piece things together from other sources. Source: over 4 years ago
Tracking Personal Finances using Python by Siddhant Goel. Source: over 4 years ago
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