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Announcement posts
Holiday Hackdays Winners 2021
Supabase organized the Holiday Hackdays 2021 hackathon following their launch week and announced the winning and runner-up community submissions. Selected winners include Swappy.one by Zernonia, the realtime polling platform rtPoll by Emilio and Federico Schepis, Santa Banter for holiday jokes by Andy Keogh, and the wishlist app the get list by glowdexapp. Recognized runners-up include Chivel for YouTube channel landing pages, the end-to-end encrypted e2ee-chat, a Flutter-based Holiday Sweater voting app, and a greeting card platform built by high school hackers. Winners receive limited-edition gold medal shirts, while runners-up earn silver medal shirts. All project submissions were made available for viewing on madewithsupabase.com.
Supabase Beta November 2021: Launch Week Recap
Supabase celebrated its third Launch Week and one year in beta by rolling out several major infrastructure and tooling updates. The company open-sourced its Dashboard for self-hosting and integrated Logflare to provide searchable database and API logs directly in the interface. For database querying and APIs, Supabase introduced a Postgres extension that resolves each GraphQL request with a single SQL statement to minimize network IO overhead, while upgrading its default hosted database to PostgreSQL 14 and deploying PostgREST 9.0. Security capabilities were expanded by enabling Row Level Security policies across the Realtime API to restrict streams and subscriptions on a per-user basis. Additional releases during the week included faster media file delivery, an open-sourced launch methodology, and a free course combining Next.js, Stripe, and Supabase.
Perceiver IO: a scalable, fully-attentional model that works on any modality
Standard Transformer architectures scale poorly in compute and memory because pairwise dot-product self-attention depends quadratically on input size. Perceiver IO addresses this constraint by computing self-attention across a small set of latent variables rather than directly on high-dimensional inputs. Inputs and outputs interact with the model via cross-attention operations, decoupling compute and memory costs from input and output dimensions. Integrated into Hugging Face Transformers via the PerceiverModel class, the architecture supports diverse data types using optional preprocessors, decoders, and postprocessors. Experiments demonstrate competitive performance across text, multimodal video classification, 3D point cloud classification on ModelNet40, and StarCraft II reinforcement learning in AlphaStar.
Five more things
Supabase announced a series of platform updates, technical releases, and community initiatives to conclude its Launch Week. The team open-sourced pg_graphql, an in-progress PostgreSQL extension that keeps schema generation, query parsing, and resolvers natively on the database server. Supabase also enabled a global CDN spanning over 250 cities, delivering edge caching with a default one-hour cache time for storage assets alongside TLS 1.3, HTTP/3 over QUIC, and Brotli compression. While Supabase Functions is not yet released, two public RFCs were opened to explore architecture options, leaning heavily toward container-based execution. Finally, the update introduced a free SaaS development course with egghead.io and launched the ten-day Holiday Hackdays hackathon.
pg_graphql: A GraphQL extension for PostgreSQL
Supabase has open-sourced pg_graphql, a native PostgreSQL extension written in C and SQL that enables in-database GraphQL schema reflection and query resolution. Because free-tier virtual machines lacked memory headroom for standalone GraphQL processes like Hasura or Graphile, the team designed an in-engine solution to eliminate extra runtime overhead. The extension parses, validates, and transpiles incoming GraphQL operations into single SQL statements that aggregate data into JSON responses. This architecture avoids N+1 query problems, enforces existing row-level security policies, and maps GraphQL requests directly onto PostgreSQL transactions. The public SQL function can be queried directly or exposed over HTTP via PostgREST remote procedure calls.
Kicking off the Holiday Hackdays
Supabase has launched Holiday Hackdays, a ten-day virtual hackathon running from December 3rd to December 12th. The event invites participants to build open-source projects using Supabase features, following the recent introduction of row-level security for the Realtime API. Teams of one to five developers may build applications using any programming language or framework provided the code and design elements are created during the hackathon. Submissions will be evaluated on criteria such as inventiveness, technical execution, visual polish, and Supabase integration, with prizes dedicated to Realtime API usage and holiday-themed concepts. Members of the Supabase team will also take part by developing an open-source advent calendar showcasing community content.
Supabase acquires Logflare
Supabase announced the acquisition of Logflare, a realtime log ingestion and analytics platform. Modern database architectures encompass APIs, authentication, storage, and CDNs, requiring unified observability to diagnose slow queries and trace user requests effectively. Built with Elixir—the same language powering Supabase's Realtime Engine—Logflare automates schema adaptation for streaming inserts and enables developers to construct APIs from SQL queries via Logflare Endpoints. The integration roadmap includes embedding log querying with SQL directly into the Supabase Dashboard, maintaining existing integrations for Vercel and Cloudflare, and transitioning Logflare toward a fully open-source implementation with multiple backend storage engines. Over the coming months, existing Logflare users will be migrated to the Supabase platform under matching pricing tiers.
Introducing Snowball Fight ☃️, our first ML-Agents environment
Hugging Face has released Snowball Fight 1vs1, its first custom Deep Reinforcement Learning environment created using the Unity Machine Learning Agents Toolkit. The game enables players to shoot snowballs against a trained agent and is hosted on Hugging Face Spaces. This release marks the beginning of an effort to build an ecosystem for Deep Reinforcement Learning researchers and enthusiasts using Unity ML-Agents. The initiative focuses on building open-source environments, hosting models and training environments on the Hugging Face Hub, and deploying interactive demos via Spaces. Future plans include publishing technical tutorials, releasing additional environments, and developing a Snowball Fight 2vs2 version that utilizes the MA-POCA algorithm to train cooperative team behaviors.
Realtime Postgres RLS now available on Supabase
Supabase updated its Realtime server to enforce PostgreSQL Row Level Security (RLS) policies when broadcasting database changes over websockets. Previously, Realtime operated as an opt-in beta feature that sent all replication changes to every client regardless of user authorization. To enforce RLS per subscriber without heavy performance overhead, Supabase introduced WALRUS, a security engine colocated inside PostgreSQL. For each replication change, WALRUS looks up active subscribers, assumes their identities, and evaluates row visibility using prepared statements queried by primary key. This in-database evaluation avoids external network round trips and single-query planning overhead while returning an authorized subscriber list to Realtime.
Supabase Studio
Supabase has released Supabase Studio, making the web dashboard used on its hosted platform available for local development and self-hosted environments. The dashboard originally existed within a single internal monorepo alongside cloud infrastructure, but managing split repositories and code synchronization significantly slowed down production release cycles. To streamline development, the team unified the frontend into a single open-source codebase modeled after Sentry's shared architecture strategy. Built with Next.js, Tailwind CSS, Supabase UI, and MobX, the application works directly with existing deployments across Docker and the Supabase CLI. The open-source release focuses strictly on database management features, including SQL editors, role policies, and extensions, while excluding cloud project administration.
Community Day
Supabase kicked off its Launch Week by showcasing integrations, ecosystem updates, and community contributions across its open-source stack. The platform announced that all hosted projects are upgrading to PostgREST 9, introducing inner joins, functions with unnamed parameters, and PostgreSQL 14 compatibility. Through community contributions, Supabase expanded authentication options to include Slack, Spotify, and MessageBird alongside existing providers. Updates to the Python ecosystem include package renaming to supabase, synchronous operation support in postgrest-py, and a rewritten gotrue-py matching JavaScript feature parity. Additionally, Supabase partnered with GitGuardian to automate secret detection and remediation across development lifecycles, protecting sensitive database service role keys.
Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets
Hugging Face released an open-source Python library and no-code interface named the Data Measurements Tool to calculate metrics for responsible dataset curation. In AI development, scraped data often enters training pipelines without detailed analysis of representation or downstream model influence, partly because querying raw datasets typically requires complex coding. Built using Hugging Face Dataset and Spaces Hubs alongside Streamlit, the tool provides descriptive, distributional, and comparison statistics. It computes missing values, vocabulary sizes, duplicate counts, label distributions, and Zipf's law adherence to identify unnatural language patterns or markup artifacts. Additionally, it offers embedding clusters via a Sentence-Transformer model and normalized pointwise mutual information metrics across gender and sexual orientation identity terms.
PostgREST 9
PostgREST 9 introduces several core updates to the tool that turns PostgreSQL databases into RESTful APIs. Developers can now perform inner joins when embedding tables using the !inner keyword, allowing top-level table rows to be filtered directly by embedded table attributes across multiple operators. The release also adds support for POST requests to functions containing a single unnamed parameter, which simplifies handling raw JSON payloads sent by external webhooks. To ensure compatibility with PostgreSQL 14, custom authentication functions accessing HTTP context headers and JWT claims must be updated to parse JSON properties from consolidated settings. Additional enhancements included in this version provide support for partitioned tables alongside documentation improvements and bug fixes.
Supabase Launch Week III: Holiday Special
Supabase organized Launch Week III: Holiday Special from November 29 to December 3, 2021, delivering daily product releases, tooling improvements, and ecosystem announcements. The week began with Community Day to showcase external contributions and open source tooling utilized by the team. On Tuesday, Supabase released Supabase Studio, allowing engineers to utilize the official platform management dashboard in self-hosted configurations and local development workflows. Midweek releases included the rollout of Realtime Row Level Security on Wednesday, followed immediately by Thursday's announcement detailing the acquisition of Logflare. The five-day launch series concluded on Friday with a final batch of five distinct feature announcements across the Supabase platform.
Supabase Beta October 2021
Supabase announced its October 2021 beta release, introducing three new authentication providers for Slack, Spotify, and MessageBird phone logins. The platform rolled out database multi-schema support, enabling users to browse different database schemas directly within the Dashboard interface and query them through the PostgREST API after enabling schema access. Documentation and instructional resources were expanded to cover PostgreSQL functions, authentication server-side functions, RedwoodJS quickstarts, self-hosting architectures, and production readiness checklists. In addition to ecosystem releases such as supabase-py v0.0.3, nuxt-supabase v2.2.1, and vue-supabase v2.2.3, the project reached over 21,268 GitHub stars. The team also announced Launch Week III: The Trilogy, set to begin on November 29th on Discord.
Supabase $30m Series A
Supabase announced a $30 million Series A funding round led by Coatue, bringing its total funding to $36 million. The company aims to provide an open source alternative to Firebase while addressing the scalability limitations typical of abstracted database platforms. Rather than building a compatibility layer, Supabase provisions a full PostgreSQL database for every project alongside integrated authentication, storage, RESTful APIs, and realtime data streaming. Platform features rely directly on core PostgreSQL primitives, including Row Level Security policies, database triggers, and logical replication streams. Funding will support long-term development of a cloud-native PostgreSQL platform offering database branching, distributed read-write nodes, scalable storage, and ephemeral compute that scales down to zero.
Course Launch Community Event
Hugging Face scheduled the release of Part 2 of its machine learning course for November 15th alongside a collaborative community event. While Part 1 covered text classification and Model Hub uploads, Part 2 expands into token classification, causal and masked language modeling, translation, summarization, question answering, and ecosystem tools like Datasets and Tokenizers. The event includes two days of technical talks from industry practitioners covering transfer learning, ethics in machine learning development, and workflows across Keras, PyTorch, and TensorFlow. Participants collaborate on team projects to fine-tune natural language processing models and develop interactive portfolio demos, with AWS supplying complimentary compute through Amazon SageMaker. Attendees who successfully complete and demonstrate a project receive a certificate of completion.
Train a Sentence Embedding Model with 1B Training Pairs
Sentence embeddings map sentences into dense vectors to capture semantic meaning for downstream tasks such as clustering, asymmetric question answering, and text search. To train general-purpose models at scale, the team utilized a dataset compiled from multiple sources containing up to one billion sentence pairs. Training leveraged contrastive learning with Multiple Negative Ranking Loss and in-batch negatives, running across seven TPU v3-8 accelerators with JAX and Flax. Batches combined samples from at least two datasets to balance hard negatives within topics against broader cross-topic semantic structure. The project resulted in twenty trained models—including variants of RoBERTa, DistilBERT, and MPNet—alongside eight specialized evaluation datasets and an interactive demo covering sentence similarity, search, and gender bias.
Hacktoberfest Hackathon Winners 2021
The organizers of the second open-source Hacktoberfest Hackathon announced the top ten projects across five distinct categories, selecting a winner and runner-up for each. Awarded projects include Pickle, a privacy-focused developer analytics service featuring realtime event synchronization, and CourseBuddy, a collaborative study platform for students. Other winning entries encompass the Feedback widget for sentiment collection, a utility management Flutter application, and Spookd, a Halloween-themed game built with Framer and connected to Supabase. Runner-up projects feature tools such as og:supa for generating Open Graph preview images, Relm for community management, Party Parrot as a Service, the TLWR path logger for Flutter, and the uwudaily mood-logging website. All winners receive custom gold medal shirts, runners-up receive silver medal shirts, and every participant receives a limited-edition participation tee.
Supabase Beta Sept 2021
The September 2021 beta update for Supabase outlines several product enhancements, documentation revamps, and community milestones. Developers using the JavaScript library can now leverage AbortController support to cancel long-running queries. Multiple PostgreSQL capabilities have been surfaced directly within the Supabase Dashboard, allowing users to apply custom column types, configure unique constraints on tables, view and edit columns in bulk, and manage table relationships spanning multiple schemas. In addition, the authentication documentation has been restructured into dedicated sections for Authentication and Authorization alongside an accompanying deep dive series. The update also marks two years since the initial commit to the Realtime Postgres engine, details upcoming events such as a Hacktoberfest hackathon, and announces open hiring for Site Reliability Engineers.
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