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​​ChainGPT Pad Introduces Saleium, a Self-Hosted Infrastructure for Public Token Sales

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​​ChainGPT Pad Introduces Saleium, a Self-Hosted Infrastructure for Public Token Sales

ChainGPT Pad has opened a new door for projects that want to keep their token sales close to home. In a short but pointed announcement on X, the team introduced Saleium, a self-hosted public token sale module that embeds the same on-chain sale mechanics powering ChainGPT Pad directly onto a project’s own website.

The pitch is simple and pragmatic. Not every project wants or needs distribution reach from a third-party launchpad. Some teams already have large, engaged communities and what they lack is robust, battle-tested infrastructure. Saleium aims to bridge that gap by delivering the same subscription-style public sale system ChainGPT has used on its launchpad, but in a whitelabel form that runs under a project’s domain and brand.

The official product page notes that Saleium uses the identical technology stack behind ChainGPT Pad, with on-chain settlement, transparent allocations and built-in flows for claims, refunds, and vesting. For founders who have grappled with the tradeoffs between centralized convenience and decentralized control, Saleium presents a middle path.

Teams can run an oversubscribed sale that performs fair, pro-rata allocation after subscription closes, while keeping funds protected and giving projects the ability to withdraw any excess. Domain allowlisting and other anti-phishing measures are baked in, and the module supports customization so the sale experience can match a project’s brand and user journey.

The product page and announcement make a point of emphasizing that compliance, including KYC and restricted-jurisdiction enforcement, is integrated rather than optional. That emphasis on compliance reflects ChainGPT Pad’s broader approach to token launches. The launchpad has marketed itself as a place that handles distribution, community reach and regulatory guardrails for projects that want a managed experience, and it has a track record to point to.

Powering On-Site Public Token Sales

According to ChainGPT’s own documentation, the pad has supported more than 100 projects and handled millions in raised funds and distributions since its inception, which gives Saleium the credibility of being built on a tested engine rather than a one-off solution. Saleium also fits into ChainGPT’s wider roadmap for 2026, which has signaled improvements to the pad and parallel tools for projects and builders.

Public posts from the company have listed Saleium as a milestone in their product cadence, describing it as a whitelabel option that lets teams host oversubscribed public sales with transparent, on-chain allocation and settlement. That positioning suggests ChainGPT sees the future of token distribution as plural: some projects should tap centralized reach, others should own the experience themselves.

For projects weighing their options, Saleium’s argument will hinge on a few practical questions. Does embedding the sale on your site materially improve conversion and trust with your community? Are you comfortable outsourcing KYC and compliance checks to the module’s managed flows? And perhaps most importantly, do you have the technical and operational readiness to run a live on-chain sale under your own brand?

The product promises answers to each of these with features like vesting schedules, refund mechanisms, and chain-agnostic support for EVM networks, but the real test will be how the first self-hosted sales perform in the wild. Public token sales are evolving, and infrastructure is no longer an afterthought. For teams that value control and already have an audience, Saleium offers a way to run a high-standard public sale without reinventing the stack.

For launchpads and platforms, it’s a reminder that the market now demands flexible tooling: reach and compliance on one hand, self-hosted sovereignty on the other. If you’re planning a public sale, the machinery behind it matters, and Saleium is ChainGPT Pad’s bet on what that machinery should look like.

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