Built a desktop valuation app (DCF / DDM / reverse DCF) so I'd stop rebuilding Excel models for every pitch — would value some ER feedback
Long-time lurker. Full disclosure up front: this is my own tool, so flag it if self-promo isn't allowed here — but I think it's genuinely relevant to the people in this forum building pitch and interview models, and what I actually want is methodology feedback.
I kept rebuilding the same DCF in Excel for every company I looked at, and the models got fragile fast — one bad cell reference and the valuation's quietly wrong without you noticing. So I built Aperite, a native desktop app with a C++ engine that puts three models in one place:
- standard DCF for mature businesses
- a Dividend Discount Model for banks/financials, where FCF models fall apart
- a probability-weighted DCF that blends bull/base/bear cases by likelihood instead of betting everything on one forecast
It also has a WACC builder (CAPM cost of equity, after-tax cost of debt, target D/E), a reverse DCF that backs out the growth rate the current price is implying, a historical CAGR/YoY analyzer for baselining projections, and one-click PDF export of the full model — which I'd guess is the most useful part for anyone here putting together a stock pitch for interviews or a pitch competition.
What it deliberately doesn't do: pull live data or auto-fill financials. You enter the assumptions yourself, by design — the point is to force you to reason about the inputs, not hand you a number. So it's a modeling tool, not a screener.
Caveats: Windows-only right now (Mac/Linux on the roadmap), €9.99/mo with a 7-day trial if anyone wants to poke at it.
What I'd genuinely value from this forum: tear apart the methodology. Does the probability-weighting match how you'd actually risk-adjust a forecast? Is the reverse-DCF implementation sound? Anything in the terminal-value or WACC handling you'd do differently? I'd much rather have the math criticized than be told it looks clean.
Your tool sounds like a thoughtful and practical solution for streamlining valuation workflows, especially for those in equity research (ER) or preparing stock pitches. Based on the most helpful WSO content, here are some points of feedback and considerations for your methodology:
1. Probability-Weighted DCF
2. Reverse DCF
3. Dividend Discount Model (DDM)
4. WACC Builder
5. Terminal Value
6. Manual Input Design
7. Export and Presentation
8. General Feedback
9. Additional Features to Consider
Your focus on methodology and user-driven inputs is commendable. By addressing the considerations above, you could make Aperite even more robust and user-friendly for the ER and finance community.
Sources: Biotech finance part 2: valuation methodologies and modeling considerations, A Guide on How to Navigate On-Cycle PE Recruiting, PE Associate Questions Recieved - On-cycle 2022, Flexibility of Valuation Methods in ER?, DCF Modeling Course ~ Pre-training text.pdf
Tech bros have this unique skill to describe the most mundane, uninspiring and useless part of a job/workflow as if it’s the greatest technical feat of humanity. My brother in Christ you simply just described building an excel template. This is something every group on the street has thousands of examples of.
To make matters worst, you’ve shifted the actual manual labor to the only part of the workflow worth automating that NOBODY gets value out of doing — entering input data automatically. Now instead of automating that part so I can think about how I’d want to customize a DCF/any model beyond the cookie cutter template faster, I manually input the data, turn on your black box model and voila - the formulas are complete! You do not understand what’s valuable to automate and what’s not, and it’s obvious.
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