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Gov/en/Portal:R&D/Innovations:Bonding Curve

From WikiDeal
This is the approved revision of this page, as well as being the most recent.

💡 In simple words: Think of the very first people who chip in to build something new: they take the biggest chance, so they get the best subscription token. The Bonding Curve is the clear, public math rule that gives early supporters more WikiDeal tokens per franc, with no guessing and no secret deals.

🎯 In 20 seconds (scientific summary): The Bonding Curve is a transparent algorithm intended to convert funding support into WikiDeal tokens: the earlier the support, the higher the multiplier (up to ×100, around ×30 at mid-stage). It is non-speculative, publicly documented, and revisable prospectively through Open Calls with mathematical experts.


Type Transparent algorithm
Purpose WikiDeal token generation from funding
Speculation ❌ None
Covered by Real expenses + subscriptions
Expert review Open Calls (math experts)
Early multiplier Up to ×100
Growth multiplier ~×30 at mid-stage
See also WikiDeal tokens Explained
See also Why Fund WikiDeal

Every new platform faces the same bootstrapping question: why would anyone support a project before it has proven itself? The first supporters carry the most uncertainty, so fairness suggests they should receive the most in return. The Bonding Curve is WikiDeal's answer: a public, verifiable formula that anyone can check, designed so that trust comes from transparency rather than from promises.


How the Bonding Curve is intended to work

The bonding curve relates the current funding reserve level to the WikiDeal tokens generated per CHF of support. The key principle: as the reserve grows, each CHF generates fewer WikiDeal tokens. This recognizes early participants and creates a natural, non-speculative incentive to support early.

For a supporter, the experience is simple: Anna supports with CHF 100 when the reserve is nearly empty and would receive far more WikiDeal tokens per franc than Ben, who supports the same amount a year later when the platform is established. Both can verify their calculation themselves, because the formula is public.

No curve inside a donation: the jump comes after

There is no "curve" running inside a given donation: a donated amount does not see its multiplier decrease along the way. The multiplier applied is the one in force at the moment of the donation, for the whole amount. What the curve describes is a jump (an adjustment) recalculated after each donation, according to the Bonding Curve and the Need-Driven Funding stabilizer.

Example: if the multiplier stands at ×65, a donation of CHF 1,000 is entirely multiplied by 65 (65,000 WikiDeal tokens). After the transaction, the multiplier makes a jump, for instance down to ×63.8, which applies to the next donation only.

The mathematical formula

WikiDeal tokens(CHF) = CHF × multiplier(R) where multiplier(R) is a decreasing function of Reserve R: multiplier(R) = M_max × e^(-k × R). M_max = maximum multiplier (at R=0, e.g. ×100); k = decay constant (determines how fast the multiplier drops); R = current reserve level (total CHF in fund); e = Euler's number (≈ 2.718...). Example at R=0 (first supporter): CHF 1 → 100 WikiDeal tokens. Example at R=50,000 CHF (mid-stage): CHF 1 → ~30 WikiDeal tokens. Example at R=500,000 CHF (growth stage): CHF 1 → ~5 to 8 WikiDeal tokens.

⚠️ This calculation is intended to be discussed in Open Calls by mathematical experts. The exact constants (M_max, k) are subject to community review and may be adjusted through the Open Calls process. Updates would apply prospectively only: they would never reduce rights already attributed at the moment of a support.

Text-based visualization

The relationship between reserve and multiplier (illustrative):

Reserve (CHF) │ Multiplier (WikiDeal tokens per CHF) ───────────────┼────────────────────────────── 0 │ ×100 ██████████████████████████ 5,000 │ ×80 ████████████████████ 20,000 │ ×50 █████████████ 50,000 │ ×30 ████████ 100,000 │ ×15 ████ 300,000 │ ×6 ██ 500,000+ │ ×2–5 █

Why a bonding curve?

The bonding curve addresses a fundamental bootstrapping problem: how to subscription token early supporters fairly without creating speculation or securities-law issues.

  • Early supporters take the highest risk (platform unproven) → highest multiplier
  • Later supporters take less risk (platform established) → lower multiplier
  • No external market price needed: the algorithm is self-contained
  • No speculation: WikiDeal tokens are not tradeable on open markets
  • Transparent: everyone can see the curve and calculate their WikiDeal tokens

Who does what

  • Supporters choose when and how much to support, and can verify their WikiDeal tokens independently.
  • Mathematical experts review the constants through Open Calls.
  • The community oversees any change to the formula, which keeps governance in citizens' hands rather than in a closed boardroom.

Relation to WikiDeal tokens and Karma tokens

The bonding curve determines the total WikiDeal tokens generated. The Need-Driven Funding mechanism and the donor's own choice at donation time then determine how many of those WikiDeal tokens the donor keeps and how much is left to the project as pure support (see the WikiDeal tokens FAQ for the formulas currently proposed). Karma tokens are a separate, non-convertible form of WikiDeal tokens, documented on their own page; the bonding curve does not determine them.

Transparency commitment

WikiDeal intends to publish the full bonding curve formula, constants, and historical data. Community members would be able to verify their WikiDeal token calculations independently. The formula is defined, not opaque, and any change would go through an Open Call process with mathematical expert review. This reflects WikiDeal's broader aims of transparency, lower cost, flexibility and citizen participation.

State of the art

Algorithmic pricing curves and threshold-based collective funding have been studied in several strands of research. The works below provide scientific context for the bonding curve hypothesis; they do not guarantee its outcome.

  • Michael Zargham, Jamsheed Shorish and Krzysztof Paruch (2019), From Curved Bonding to Configuration Spaces, WU Vienna University of Economics and Business, Working Paper Series: open access paper.
  • Jiahua Xu, Krzysztof Paruch, Simon Cousaert and Yebo Feng (2023), SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols, ACM Computing Surveys, 55(11): doi:10.1145/3570639 · [{W}Automated_market_maker automated market maker on Wikipedia].
  • Robin Hanson (2003), Combinatorial Information Market Design, Information Systems Frontiers, 5(1): doi:10.1023/A:1022058209073 · prediction market on Wikipedia.
  • Paul Belleflamme, Thomas Lambert and Armin Schwienbacher (2014), Crowdfunding: Tapping the right crowd, Journal of Business Venturing, 29(5): doi:10.1016/j.jbusvent.2013.07.003 · crowdfunding on Wikipedia.
  • Ethan Mollick (2014), The dynamics of crowdfunding: An exploratory study, Journal of Business Venturing, 29(1): doi:10.1016/j.jbusvent.2013.06.005.

See also: WikiDeal tokens Explained · WikiDeal tokens FAQ · Need-Driven Funding · Revenue Structure · Karma tokens · Why Fund WikiDeal · Open Call Guide

💡 Improve this concept: submit a proposal via Open Call