> ## Documentation Index > Fetch the complete documentation index at: https://docs.learnterms.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # History > How LearnTerms grew from a focused term-study tool into a cohort-based study platform with curation, analytics, badges, and custom tests. ## Why this history matters LearnTerms makes more sense when you know what it was built to solve first. The product did not start as a generic all-purpose study platform. It started as a highly practical response to a real class workflow, then expanded in layers: * first around term study * then around efficient high-yield filtering * then around AI-assisted authoring and curation * then around shared cohort structure, analytics, badges, and custom tests That progression explains why LearnTerms feels opinionated today. ## The short version LearnTerms began as a focused tool for mastering course terms. Over time, it grew into a cohort-based platform organized by **semester**, **class**, **module**, and **question**. The current product reflects several big transitions: 1. from solo studying to shared cohort studying 2. from term lists to module-based question banks 3. from manual authoring alone to AI-assisted generation plus human curation 4. from simple practice loops to richer progress, badges, and custom tests ## Early foundation: LearnTerms 1.0 The archived **LearnTerms 1.0 Release** post dates the first major public version to **September 22, 2024** in the article body, while the blog index lists it on **September 23, 2024**. At that stage, the product was still much narrower than it is today. The focus was: * learning course terms accurately * reinforcing recall by typing * reviewing starred or missed content * using a lightweight study tool without heavy setup The original framing was very direct: LearnTerms existed to help a specific class do better on quizzes with less friction. ## October 2024: the LENS era The archived **LENS Algorithm** post is dated **October 16, 2024**. This is one of the clearest windows into the product philosophy. Instead of assuming that "more cards" automatically means "better studying," LearnTerms explored a more selective model. The LENS system focused on cutting low-value content and keeping high-yield material. That idea still shows up in the product today. LearnTerms is not trying to be an everything bucket. It is trying to help you study the right material with less waste. ## Early 2025: LearnTerms v2 The archive index lists: * **LearnTerms v2 Beta** on **January 15, 2025** * **LearnTerms v2** on **February 28, 2025** The archived article pages themselves currently show **2024** dates in their headers, which appears to be a stale typo in the archived page content rather than the intended release timing. Based on the archive index and the content of the posts, v2 marked a major shift: * the product moved beyond simple term review * exam-style study flow became a bigger focus * AI-powered question generation entered the picture * the platform started to look more like a durable class resource than a single-course tool This was the point where LearnTerms began acting like a system, not just a utility. ## Mid to late 2025: infrastructure and content operations The changelog shows **July 2025** through **December 2025** as the period where major platform foundations were laid. Highlights from that stretch include: * **July 2025**: foundational navigation and Convex migration work * **August 2025**: content library, AI generation, image support, and broader authoring capabilities expanded * **September 2025**: matching and editor refinements improved authoring quality * **October 2025**: progress tracking became richer, including stronger support for fill in the blank and matching workflows * **December 2025**: performance cleanup simplified progress handling and moved module question counts toward stored fields This period matters because it turned LearnTerms into something operationally maintainable. The app was no longer only about the study screen. It had become a structured content system. ## January 2026: redesign and curation maturity The changelog marks **January 2026** as a major redesign and curation month. Key themes: * student and admin interfaces were redesigned * class management tooling expanded * question curation workflows improved * tagging groundwork landed * progress and analytics became more visible This is when LearnTerms started to feel much more like the current product. The admin side, contributor side, and student side were becoming parts of one coherent platform. ## February 2026: badges and a stronger shared experience By **February 2026**, the changelog shows another layer being added: * badges * cohort page improvements * visual redesign work * stronger analytics * more polished AI helper behavior This was important because LearnTerms had always been cohort-oriented in structure, but now it became more cohort-visible in the interface too. ## March 2026: LearnTerms v3 The changelog names **March 2026** as the **LearnTerms v3** release. The biggest visible shifts in that release window were: * v3 itself shipping as the largest platform update to date * custom tests becoming a first-class workflow * more polished study ergonomics * a fuller changelog and rollout layer Custom tests are especially important in the product story. They show the platform moving beyond "study one module at a time" toward "build exam-style review from your own real class content." ## What stayed consistent across all versions A lot changed, but a few ideas stayed surprisingly stable: * LearnTerms is meant to be high yield, not exhaustive for its own sake. * The product mirrors real coursework instead of forcing you to invent your own structure. * Human judgment still matters, especially in question quality. * The fastest workflow is not always the best workflow; the product tries to preserve useful focus. ## Why the current docs are structured this way The external docs follow the current product shape, but the history explains why the sections exist: * **Students** reflects the mature study flow * **Admins** reflects the need for clean cohort and content operations * **Contributors** reflects the reality that good question banks need active curation * **Platform** reflects the fact that LearnTerms is now a real system with roles, routes, and data boundaries ## If you want to trace the product further The most useful source threads are: * the archived blog under `src/lib/archive/blog` * the product changelog at `/changelog` * the in-app docs under `src/routes/docs` Together they show a clear arc: LearnTerms started narrow on purpose, then expanded without losing its bias toward focused study flow.