Changelog

• Instantly integration — add leads to campaigns, find leads, and update them directly from Fluar • Fast LinkedIn scraping via Scrapin with sub-5 second response times • LinkedIn reactions scraper to extract who engaged with posts • Unwrap metadata to pull structured data out of cells • Improved enrichment UI with unified component • Better job queueing and worker reliability • Infrastructure upgrades for faster processing

• Added Perplexity AI integration for web-grounded research and real-time search • New Apify provider to run custom scrapers and actors • Multi-range selection lets you select multiple cell ranges at once • AI-generated filters — describe what you want and let AI build the filter • Search across your projects and data • Abort queued jobs to cancel pending processing • Improved CSV export with streaming for large datasets • Use your own Findymail API key for lower costs • Editable JSON cells in the grid

• Credit costs are now calculated more accurately with better estimates • Cost calculations work faster with fewer rows needed • Table controls and credit display improved for clearer visibility • Updated onboarding flow to show pricing details more clearly

• Project Builder can now suggest and fill columns based on your goal • New builder page with clearer steps • Smoother onboarding and pricing details

• Started a new Project Builder to help you set up projects faster • CSV import is smoother

• Easier cell editing with fewer hiccups when selecting and mentioning • Cleaner quick starts and sidebar navigation • Admins get a simple reset tool for test accounts

• Smarter default AI model choices • Small quality improvements across AI features

• Smoother onboarding with clearer steps • More predictable table behavior while editing

• New column picker that’s easier to browse and configure • Added Vercel integration • More reliable file uploads

• Pay‑as‑you‑go billing is live — top up credits any time • Clear pricing and a dedicated billing page • More responsive tables with clearer cell statuses

• Tables and sheets load faster, especially on larger projects • More reliable updates in the grid while you work • Smoother CSV import and chat interactions

• New integrations and a clearer Integrations menu on the website • Simpler model selection and clearer pricing • Smoother experience when connecting services

• Invite teammates with a shareable link and manage members in Team Settings • Cleaner settings pages with fewer invite errors • Higher default limits so you can do more before hitting limits

• Added Apollo.io integration to find people and contact info using filters • Fixed fuzzy search (removed fuse.js, switched to native implementation) • Fixed canvas deployment issues with proper nixpacks config

• Added Instagram profile scraper to pull profile data • Completely rebuilt job queueing system to handle concurrency better • Fixed team-level execution limits to prevent rate limiting • Fixed scroll issues in the table

• Added paywall to onboarding so you can't accidentally blow through credits • Rewrote token explanations to be way clearer • Fixed top-up flow and billing UI • Changed minimum top-up to 10 credits

• Built entire integration system to connect external services (starting with OpenRouter) • Added encrypted credential storage for API keys • Rewrote billing to track credits with proper ledger system • Fixed data fetching to handle 500+ row limit properly

• Introduced a simple onboarding flow via CSV with an in-app tour and helper UI
• Improved CSV import performance and reliability; added AI assist to column setup
• Small UX tweaks across login, onboarding, and table settings

• Added Cursor integration with a new repo selector and API endpoint to list repositories
• Upgraded task field settings and the add-column popover; introduced a cursor-repo-select column
• Improved run-task worker logic and keyboard UX — Enter now starts editing a table cell
• Minor polish in app pages and options

• Added filtered CSV export functionality that lets you export only the data you want based on your current filters
• Fixed filter conditions to properly handle forward slashes in text values
• Improved bulk row processing to handle thousands of rows efficiently with proper batching
• Enhanced subscription reliability with health monitoring and automatic reconnection when database connections drop
• Fixed keyboard shortcuts to respect text selection priority when copying data
• Resolved infinite query refetching issues that were causing performance problems
• Fixed select column filter options display and column deletion to properly clean up cell data
• Refactored CSV import to use background job processing for better performance and reliability

• Fixed a few 🐛 bugs in AI Agent URL scrapers that were causing failures when processing web content and extracting data from URLs

• You can now select which columns to import when uploading CSV files instead of importing everything

• Released version 0.5, our biggest update yet
• Brand new AI agent chat system (see /agent2)
• Tons of improvements and bugfixes across the board

• Shipped a brand new CSV import system
• Importing huge files (30mb, 50k rows) now takes just 15 seconds (down from 5 minutes)
• Much smoother experience for big data projects

• We now support optional dependencies between columns, making complex workflows much easier to build

• Fixed issues with mentioning other columns - it's now much more reliable when typing @ to reference columns in your formulas
• Resolved a bug that was causing all rows to trigger actions when they shouldn't have

• You can now select table rows using single-select mode for individual actions or multi-select mode to work with multiple rows at once

• Reference columns now properly refresh and display updated values when their parent column data changes

• Google Maps search results now include direct URLs to each place for quick navigation

• Optimized project loading algorithms to handle large datasets more efficiently

• Added ability to enrich individual cells for precise data enhancement
• Introduced column-level enrichment for targeted data processing
• Enhanced granularity beyond row-level operations, providing more control over data manipulation
• Major improvement to user workflow efficiency with selective enrichment options

• Fixed various bugs in filter functionality for better data filtering
• Resolved sorting issues to ensure proper column ordering
• Improved stability and reliability of table operations

• Large projects now load 10x faster

• More intuitive column visibility toggle
• Fixed small UI bugs around column settings
• Spintax now supports values with commas (each value must be in a new line)
• Added GPT-4.1 Mini and GPT-4.1 Nano models
• Addeed option for clearing cells in the whole column

• Tables above 5 thousand rows perform better on slower devices

• It's now easier to understand how credits are used
• Pricing page is more transparent and easier to understand
• New project must run 10 successful rows before running all rows. This helps prevent accidental credit overuse.

• Onboarding now includes a detailed video walkthrough
• Fixed Instagram Scraping issues (tailored for scraping profiles)

• Fluar migrated to a new SERP engine, providing faster and more accurate results for a fraction of the cost.
• This includes Google Maps and Google Search results.