Streamlined Platform — Live Streaming Removed
Removed the live data streaming feature to simplify the platform. WebSocket endpoints, Live Stream tab, and related plan features have been dropped.
Removed Live Stream tab from the dashboard Removed WebSocket streaming endpoints (/api/stream/*) Updated features page, pricing, and checkout to remove streaming references Social Intel 2.0 — Complete Platform Relaunch
Everything you loved about 1.0, reimagined. 100+ platforms, AI enrichment pipeline, redesigned catalog, and new pricing.
100+ platforms — Reddit, YouTube, GitHub, Medium, HackerNews, Mastodon, Bluesky, and more AI enrichment pipeline: sentiment, emotion, topics, financial signals, jobs data — 150+ fields New pricing: Free, One-Time ($9), Pro ($39/mo), Max ($79/mo) Redesigned catalog with grid/list view, filters, and search Interactive dataset preview with schema explorer PayPal integration for secure payments Migrated to Next.js 16 App Router for improved performance Custom Dataset Dashboard
Pro and Max users can now track, manage, and download custom dataset requests directly from the dashboard.
New "Custom Requests" tab in the dashboard Real-time status updates for in-progress datasets Inline chat with our data team on each request Reduced turnaround time to 3-5 business days 10 New Datasets & Enrichment Expansion
Major catalog expansion with 10 new datasets and 15 new enrichment fields across all platforms.
5 new Reddit datasets: r/CryptoCurrency, r/stocks, r/technology, r/science, r/worldnews 3 new GitHub datasets: trending repos, security advisories, package ecosystem 2 new YouTube datasets: educational content, product reviews Added financial signal detection enrichment field Improved sentiment accuracy across all English-language datasets (+6% F1) Bug Fix Release
Stability fixes for the catalog, export, and API systems.
Fixed catalog search freezing on rapid filter changes Resolved JSONL export truncation for datasets over 500MB Fixed broken pagination on the dataset detail page Performance & API Improvements
Major backend optimization reducing download times and improving API reliability.
Download speeds improved by ~40% with S3 multipart transfer API response times reduced by 35% with query optimization Added ?fields[] parameter to filter dataset columns on download Fixed Parquet export for datasets with null enrichment fields Resolved rate limiting edge case for concurrent requests Platform Expansion — HackerNews & Stack Overflow
Added two new platform collections: HackerNews discussions and Stack Overflow Q&A.
New HackerNews dataset: top stories, comments, and job threads New Stack Overflow dataset: questions, answers, and voting data Cross-platform topic clustering for Reddit + HackerNews content Developer Tools & API Improvements
Released improved API docs, Python SDK, and developer experience improvements.
Python SDK package (pip install socialintel) Interactive API playground in the docs OpenAPI spec now includes all endpoints with request/response examples Improved error responses and rate limit headers Platform Expansion — Mastodon & Bluesky
Expanded beyond traditional platforms into federated and decentralized social media.
New Mastodon dataset: public posts, hashtags, and federation activity New Bluesky dataset: posts, reposts, and engagement metrics Unified author identity resolution across platforms Catalog Quality & Metadata Upgrade
Enhanced dataset metadata, better search, and improved preview quality.
Added rich dataset descriptions with update frequency and row counts Improved catalog search with fuzzy matching and typo tolerance Fixed sample preview not loading for large datasets Security & Infrastructure
Security hardening, infrastructure upgrades, and compliance documentation.
Added security headers: HSTS, CSP, X-Frame-Options Rate limiting per IP (100 req/min) and per key (based on plan) GDPR compliance documentation and data processing agreement Upgraded to TLS 1.3 with AES-256 encryption at rest Custom Request & Pipeline Fixes
Bug fixes for the custom dataset request flow and collection pipelines.
Fixed email notification not sending on request completion Resolved pipeline timeout for datasets with 100k+ records Reduced collection latency for real-time platforms Custom Dataset Requests
Need data we don't have? Request custom collections — we collect, clean, and deliver in days.
Custom dataset request form with platform/keyword/date filters We collect, clean, and deliver custom datasets in days Handles Reddit threads, GitHub repos, YouTube videos & Medium articles Dashboard Stability & UI Polish
Bug fixes and interface improvements for the new dashboard.
Fixed download history showing incorrect file sizes Resolved account tab not saving preference changes Improved mobile layout for usage statistics cards Dashboard & Analytics
User dashboard with usage analytics, download history, and account management.
Dashboard with Overview, Datasets, History, and Account tabs Usage statistics with animated counters Download history with search and filtering Export & API Refinements
Improvements to export reliability and API documentation.
Improved error messages for failed downloads API docs now include curl examples for every endpoint Fixed JSON export missing nested fields in some datasets Multi-Format Downloads & API
Expanded export formats and launched the REST API for programmatic access.
S3 streaming downloads for large datasets Export formats: CSV, JSON, JSONL, Parquet REST API — no SDK needed, just your HTTP client Free samples available without signup 100+ Premium Datasets
Expanded catalog to 100+ premium datasets with pre-processed sentiment scores, topic tags, and engagement signals.
100+ premium datasets across Reddit, YouTube, GitHub & Medium Pre-processed with sentiment scores, topic tags, and engagement signals Daily pipelines using Playwright with anti-detection Free datasets under 500 records — no account needed Social Intel Launch
Social Intel 1.0 launched — premium social media datasets for AI training, research, and analytics.
100+ premium datasets across Reddit, YouTube, GitHub & Medium Reddit threads, GitHub repos, YouTube videos & Medium articles — pre-processed with sentiment scores, topic tags, and engagement signals Daily pipelines (Playwright + anti-detection) S3 streaming downloads in CSV / JSON / JSONL / Parquet REST API — no SDK required Free samples (no signup) + free datasets under 500 records Custom dataset collection — we collect, clean, and deliver in days