Create wild Scenarios from datasets in just 2 clicks. This is the kill-application of Datastripes
We just launched a feature in Datastripes that makes building synthetic scenarios effortless.
But before all, what are these Synthetic scenarios? They are simulated “what-if” datasets created from real data to model extreme events, crises, or growth, letting you explore potential outcomes without waiting for them to happen.
Whether you want to simulate a black swan, a market crash, or a sudden growth surge, you can now do it visually, entirely in-browser, with zero backend setup.
Drag & Drop Workflow: Define shocks, trends, and correlations without writing a single line of code.
AI-Powered Guidance: Get smart suggestions for extreme events and edge cases.
Instant Preview & Narration: Watch your scenario unfold in real time, generate narrated dashboards or audio summaries instantly.
It’s designed to be accessible for analysts, product teams, and decision-makers alike. You can experiment freely, explore high-impact hypotheticals, and share your insights with your team... all in one place.
We’d love to hear from you! What scenarios would you run first? How do you imagine using synthetic scenario modeling in your work?
Drop a comment below... we’re reading every single one and early feedback helps shape the product.
🔗 Today is our launch day... if you want, upvote Datastripes on Product Hunt
Dive in, play with your data, and let us know what crazy “what-if” scenario you want to see next!
Replies
@vincenzo_mantothis web app is incredible, already signed up and using it. Thank you.
@marlon_van_wyhe Thank you so much! You totally deserve a lifetime free plan: now it’s yours!
@vincenzo_manto I'll take that...lol just trying to help a fellow solo dev.
Buffup.AI
I’d love to try simulating sudden market entry from a competitor to see how it could affect adoption curves. Being able to do that visually without any code sounds like a huge plus for me.
@sansa_grey Great idea Sansa. How would you extract the competitor data though? I’ve built a separate node called Prophetizer that merges public industry trend data, a sort of “peer” concept, but it works via prophetization, a powerful forecasting subset, which is different from synthetic scenarios. Is that what you mean?
Promomix
I’m curious how well the AI suggestions work. If it can surface realistic but unexpected scenarios, that could help uncover blind spots I wouldn’t think of on my own.
@margret_rhyme Thanks for your feedback! I’m exploring using LLMs for the configuration phase, but most of Datastripes’ intelligence is heuristic and ML-specific, mainly LSTM, deep NNs with 5+ layers.
Early tests are promising, users are happy, and every demo ends with a “wow” when they hear a podcast generated from a future scenario projection. I’m grinding day and night to improve these two nodes. I think they’re the real core of Datastripes, my true kill-app.
Two clicks to simulate port closures across 3 continent. This is a supply chain nerd's dream.
@yatheen_brahma Exactly. Port closures across continents is one of the top scenarios I’ve been stress-testing in Datastripes. I'll post updates about this specific topic in the next weeks!
Promomix
Feels like the crystal ball we always joked about in strategy meetings.
@irsa_doham That’s the goal. The road is long, but at a pace of one feature every two days we’ll cover around twenty real-world scenarios fast, with the help of our first testers obv.
Black swan modeling is something I’ve only ever done in spreadsheets, and it’s painful. The instant preview with narration make it much easier to present findings to non-technical teams.
@jabari_zuri I know exactly what you mean. Since I started Datastripes as my master’s thesis, my only goal has been to make those complex but crucial business analyses easier, even just for awareness. The scenario module isn’t the simplest to use yet, but my idea is to provide a power-packed, ready-to-go tool that can then be customized by experienced users.
Bababot
My first test would probably be simulating supply chain breakdowns over multiple regions and seeing how those ripple through revenue. That’s always a tricky one to model manually.
@adams_parker Thanks for your feedback! I’m actually building a manual configuration module for this Scenario Node, for full customization, coming out soon, definitely by the end of the month. You’re not the first to suggest this use case, so I’m putting a lot of focus into it. I don't know if I should put it for free :D
TabsMagic
The audio summaries feature is interesting. I’m thinking about how I could embed those directly into reports so leadership can get insights without opening the dashboard.
@flashsonic I’ve already tested that, and one of our users used the audio summaries for financial reporting directly to their CEO in Romania. As I often say, knowledge must be consumed, not only extracted.
Reactor Chat AI
The idea of correlating multiple shocks at once is exciting. Real life rarely throws one problem at a time, so being able to model combinations could lead to more realistic plans.
@tj_dunham Thanks! That’s exactly what we’re aiming to tackle. Even synthetic scenarios with 30-40% confidence can make the board and C-level aware of potential risks, problems, or opportunities they might otherwise miss.