We built the auditor
nobody else wanted to build.
The SaaS industry is very good at hiding what things actually cost. We built an engine that surfaces the truth — using live GitHub signals, a deterministic scoring model, and a single iron rule: no vendor pays to influence a score.
Why this exists.
It started with a familiar situation. A team of twelve people, a SaaS bill north of $4,000 a month, and a spreadsheet that nobody had updated in eight months. Three of the tools overlapped in features. Two hadn't been used meaningfully in a quarter. One was on autopay from a trial that never got cancelled.
The tools to surface this weren't hard to imagine. What was hard was that none of them existed without a sales call, a minimum commitment, or a product that was itself another SaaS subscription. We were being asked to pay to find out where we were overpaying.
The SaaS industry has spent twenty years perfecting the art of making you forget you are being charged. We built the thing that helps you remember.
— BizOpsTool founding principleBizOpsTool was built as the counterweight. Free to use, open in its methodology, and structurally incapable of being gamed by the vendors it evaluates. Every score is computed from public data that any engineer can verify. We publish exactly how it works.
How the engine works.
The audit is a two-step process. First, the GitHub intelligence engine runs weekly against every tool in the index. Second, when you submit your stack, the scoring model maps your specific inputs — team size, tool categories, usage intensity — against the live data to produce a waste estimate and a ranked set of replacements.
Every tool in the index is scraped weekly from its public GitHub repository. We pull commit history, PR merge rates, issue response times, release cadence, fork velocity, and test coverage signals — bypassing marketing pages entirely.
Each tool receives a score from 0–100 computed deterministically across nine weighted signals: GitHub stars, fork growth, commit recency, days since last release, PR merge rate, issue response rate, engineering rigour (tests present), community traction, and trend direction. No judgment calls. No editorial overrides.
We filter out hobby projects, abandoned repositories, and experimental tools. Anything below the minimum activity threshold — regardless of star count — is excluded from recommendations. The directory only contains tools we would consider deploying in production ourselves.
You tell us your team size and the categories of tools you pay for. Our model applies typical per-seat pricing benchmarks, estimates feature overlap (the percentage of functionality you are paying for twice), and outputs a directional annual waste figure plus a ranked list of open-source replacements drawn from the live index.
What we stand for.
These are not aspirational values posted on a wall. They are structural constraints built into how the product works.
No company can pay to improve their BizOps Score, appear in your audit results, or receive a recommendation. Scores are computed from public signals only. The integrity of the score is the product — without it, nothing we produce has any value.
Every scoring weight, every data source, and every filter rule is documented and public. If you believe a score is wrong, the methodology page tells you exactly how it was calculated. You can check our work. That is deliberate.
We score from activity data, not sentiment. GitHub stars measure attention; commit recency measures maintenance. We weight the signals that predict whether a tool will still be healthy in eighteen months — not whether it had a good Product Hunt launch.
The directory, the audit, and all scores are permanently free. We earn affiliate revenue when you switch through our links — but only from tools that already scored well on our index. The incentive structure only works if the recommendations are honest.
We never ask for your billing data, your contracts, or your exact spend. The audit is built around two inputs you already know: team size and tool categories. No sign-up required to see your results. No email required to run an audit.
Scores are re-computed weekly against fresh GitHub data. A tool that was excellent in 2023 but went dormant in 2024 will show that. A tool that was mediocre but recently surged in activity will reflect that surge. The index is a live instrument, not a static list.
What we are not.
It matters as much to be clear about what BizOpsTool is not as what it is. Misrepresentation is exactly what we were built to cut through.
How we make money.
We are transparent about this because trust depends on it.
Affiliate commissions
Some tool pages and comparison pages contain affiliate links — marked clearly with a disclosure. When you deploy a tool through one of those links, we may receive a commission from the cloud hosting provider at no additional cost to you. The affiliate link affects only the link. It has no bearing on the BizOps Score that tool received, the order it appears in the directory, or whether it gets recommended in your audit report.
Custom Migration Blueprints
For engineering teams and operators who want expert guidance beyond the free audit, we offer Custom Migration Blueprints — fixed-scope engagements starting from $3,000. A senior engineer maps your specific stack, produces a validated Docker Compose deployment package, writes data migration scripts, and delivers a full cutover runbook. This is an optional, scoped service. It does not influence any recommendation in the free audit.
What we will never do
- Charge vendors to appear in the directory or improve their position.
- Accept sponsorships that require editorial control over scores or recommendations.
- Display advertising from software vendors within the audit or report interface.
- Sell individual user data, audit inputs, or email addresses to third parties.
Open by default.
The entire scoring engine — the scraper, the weighting constants, the HTML generation templates, and the deployment workflow — is open source and publicly maintained on GitHub under the BizOpsTool organisation.
This is not a marketing posture. It is a structural commitment. If we change how scores are computed, the change is visible in the commit history. If a community member believes a signal is weighted incorrectly, they can open an issue with data. If you want to run the engine against your own private tool list, you can fork it and do exactly that.
Who built this.
BizOpsTool is a small, focused team. We are engineers and operators who have worked inside the kind of companies that overpay for SaaS — and decided to do something about it rather than complain about it.
Built the original scoring engine and the GitHub scraper. Previously spent years watching enterprise teams pay enterprise prices for tools with open-source equivalents that were, by measurable signal, healthier software.
Maintains the weekly re-scoring pipeline, curates the CORE_TOOLS list, and handles the signal weighting research that keeps the BizOps Score calibrated against real-world deployment outcomes.
The methodology is public and the scraper is open source. Several scoring improvements and tool additions have come directly from community pull requests and methodology challenges submitted through GitHub.
See what your stack is actually costing.
Two inputs. 60 seconds. No card. No email required.