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Tesseral – Open-Source Auth

Hacker News

Tesseral – Open-Source Auth

Hi folks! I'm Ulysse, and Tesseral ( https://github.com/tesseral-labs/tesseral ) is open-source auth for B2B SaaS. Early in my career, I worked on enterprise auth and security features at Segment. I've been obsessed with the subtle details of enterprise software ever since. For example, I wrote an implementation of SAML in the early days of the COVID pandemic because I thought it was fun. Over the years, I've felt frustrated that too few people have seemed interested in making auth obvious for developers of business software. Auth really doesn't need to be so confusing. We made Tesseral to help software engineers get B2B auth exactly right – and focus their energy on building the features that users want. You can use Tesseral to stand up a login page, authenticate your users, and manage their access to resources. Think of it like Auth0 or Clerk, but open source and built specifically for B2B apps. Among other things, that means that it’s designed for B2B multi-tenancy and includes enterprise-ready features like single sign-on (SAML SSO), multi-factor authentication (MFA), SCIM provisioning, and role-based access control (RBAC). For those who expose public APIs, you can use Tesseral to manage API keys for your customers. You can even limit the scope of API keys to specific actions by using our RBAC feature. We've taken care to make Tesseral powerful and secure enough to power real enterprise software but still leave it simple enough for any software developer to use. You don't have to be a security expert to implement Tesseral. (By default, therefore, Tesseral imposes a few opinions. Let us know if you have a good reason to do something unusual, and we'll work something out.) If you want to experiment with Tesseral, you can host it yourself or use our hosted service. The hosted service lives at https://console.tesseral.com . You can find documentation here: https://tesseral.com/docs . Here are a few simple demos: https://www.youtube.com/watch?v=IhYPzz3vB54 https://www.youtube.com/watch?v=t-JJ8TNjqNU https://www.youtube.com/watch?v=mwthBIRZO8k We're in the early stages of the project, so we still have some gaps. We have more features, bug fixes, SDKs, and documentation on the way. What have we missed? What can we do better? We're eager to hear from the community!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, single · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
79%79% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: apps, users, way · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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