This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
SCIRISK helps boards and supply chain leaders price supply chain risk in financial terms, turning resilience from rhetoric into a number you can act on. Unlike spend-based heatmaps or black-box scores, ESCRC models your full multi-tier network with Monte Carlo VaR/ES, cites every parameter, discloses regional correlation, and stamps each run with a seed for exact reproducibility.
Your CFO can tell you the firm's credit VaR to four decimal places.
Ask them what the supply chain VaR is. Watch the silence.
That gap has bothered us for a while, so we built something.
Introducing the ESCRC Calculator: a browser-based tool that applies the same quantitative capital framework banks use for credit risk to your multi-tier supply chain.
What it does:
→ Maps disruption exposure across Tier 1, 2, and 3 suppliers
→ Converts that exposure into focal-firm revenue at risk
→ Runs 10,000 Monte Carlo scenarios to compute VaR, Expected Shortfall, and a full loss distribution
→ Calculates RoESCRC — return on risk capital — for every supplier relationship
The part we're most excited about: AI-powered parameter calibration. Select your suppliers, click research, and in ~10 seconds the model estimates disruption rates, recovery times, and impact coefficients for your entire network with auditable rationale for every number.
No spreadsheet. No consultant. No six-figure data subscription.
Love that the seed-based reproducibility is baked in, that alone sets you apart from the black-box scoring tools I've tried. One thing that would make it stickier for my team: a side-by-side scenario view where we can toggle a tariff shock or climate disruption against a baseline run and instantly see the delta in VaR and ES by tier. Right now exporting two runs and diffing in Excel feels clunky for what should be a core workflow.
The seed-stamped reproducibility is a really sharp touch. Most risk tools hand you a number and a shrug, so seeing every run tied to a citable seed and explicit correlation assumptions makes this feel like something built by people who've actually been burned by a model they couldn't defend.
The Monte Carlo VaR approach actually breaks down our multi-tier network in a way that's defensible to the board, and I appreciate that every parameter cites its source. Surprised how much time the reproducibility seed saves during our quarterly reviews.
One thing that would make this way more useful for my board is a simple "what changed since last quarter" view that highlights which tier-2 or tier-3 suppliers moved the VaR the most, ideally exportable as a one-page PDF we can drop straight into the risk committee deck.
Took a quick look and the Monte Carlo VaR output actually ties back to each parameter source, which is rarer than it should be in this space.
A really specific and useful angle here. One thing I'd love to see is a way to export the seeded Monte Carlo runs as raw CSVs so we can plug them into our own internal risk models without re-running anything. Would make audit handoff way smoother.
honestly this looks like exactly what our risk team has been begging for, super useful stuff. one thing that would be huge for us though is letting us layer in scenario shocks manually, like a sudden tariff hike or a port shutdown, on top of the monte carlo runs so we can show the board a what-if view in the same meeting.
About SCIRISK on Product Hunt
“Risk Capital for Supply Chains”
SCIRISK was submitted on Product Hunt and earned 11 upvotes and 15 comments, placing #158 on the daily leaderboard. SCIRISK helps boards and supply chain leaders price supply chain risk in financial terms, turning resilience from rhetoric into a number you can act on. Unlike spend-based heatmaps or black-box scores, ESCRC models your full multi-tier network with Monte Carlo VaR/ES, cites every parameter, discloses regional correlation, and stamps each run with a seed for exact reproducibility.
SCIRISK was featured in Fintech (47.3k followers), Artificial Intelligence (474.1k followers) and Finance (6.1k followers) on Product Hunt. Together, these topics include over 131.5k products, making this a competitive space to launch in.
Who hunted SCIRISK?
SCIRISK was hunted by INFO SCIRISK. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how SCIRISK stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
INFO SCIRISK