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Announcement reads
Announcement posts on Yomu, summarised newest first.
- 1,477 posts
- 20 companies
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Announcement posts
Piloting estimated earnings per kilometer on trip requests
Uber is piloting an estimated earnings per kilometer badge on trip requests in selected cities, giving drivers another way to compare potential trips alongside the upfront fare. The calculation starts with the upfront trip fare and divides it by the total estimated driving distance: from the driver’s acceptance location to pickup, plus from pickup to the final destination. It is intended as a benchmark that works across requests with different durations and excludes distance driven while waiting between rides. Drivers continue to be paid per trip based on the upfront fare, not per kilometer; the estimate is not a guarantee, can change when trip details change substantially, and may differ from actuals because the distance estimates depend on the driver’s location and request details.
Piloting estimated earnings per active hour on trip requests
Uber’s pilot, now ended, tested an estimated earnings per active hour badge on trip requests for some drivers in select cities. The badge appeared on Trip Radar and Exclusive requests, while drivers still received upfront fares and were paid per trip, not by the hour. Active time covered driving to pickup, waiting for the rider, and completing the trip, excluding time spent online between requests. The estimate divided the upfront fare by estimated pickup, one-minute average pickup wait, and trip time, then scaled the per-minute amount to 60 minutes. Uber described it as a comparison benchmark, but noted that timing estimates use historical data and traffic conditions, actuals can vary, and the figure is not a guarantee.
New ways to agentically build and edit dashboards
Pre-configured monitoring templates often fail to meet organization-specific needs, forcing developers to manually build dashboards widget by widget. Sentry introduced AI-agent-powered dashboard creation and editing in open beta, alongside CLI management tooling and template revisions. Users can prompt an AI chat interface to build or adjust dashboards, duplicate and customize uneditable Sentry-built templates, or execute dashboard commands directly in their terminal. Dashboards leverage issue, tracing, and application metric data across frontend, backend, mobile, and framework-specific views like Next.js and Laravel. Edits made through the UI, CLI, or AI agent are automatically tracked in a revision history that supports one-click rollbacks.
Autonomous vehicles are coming to more cities
Uber is introducing autonomous vehicles (AVs) on its app in selected sections of Atlanta, Austin, Dallas, and Las Vegas, as part of a hybrid marketplace that includes both AVs and drivers. Availability is limited by geography and time of day, monitored during each rollout, and expected to change over time. Riders requesting UberX, Uber Comfort, or Uber Comfort Electric may be matched with an AV and can adjust app settings to increase their chances; some trips may initially include a specialist from an autonomous partner who can take over if needed. The company says AVs are intended to complement drivers, helping meet demand during busy periods or where fewer drivers are available. Uber expects minimal driver impact and says expanding rider engagement will create more opportunities for drivers.
Introducing Notion’s Developer Platform
Notion introduces a Developer Platform with Workers, data synchronization, custom agent tools, external agents and a CLI for extending its workspace beyond built-in capabilities. As teams connect agents to more workflows, the platform addresses gaps involving external data, custom logic and agents that cannot otherwise participate in Notion. Workers run custom code in a hosted secure sandbox, enabling database sync, agent tools and webhook triggers without user-managed servers; the CLI supports authentication, Notion actions and Worker deployment from a terminal or IDE. External Agents can work natively alongside teams and Custom Agents, while the External Agent API supports bringing internally built agents into the workspace. The CLI is available on all plans, Workers are in public beta for Business and Enterprise plans, and External Agents are offered through a private-beta waitlist.
ClickStack SQL Charting and Alerting
ClickStack introduced SQL-based visualizations and SQL-based alerting to allow users to build charts and alerts using arbitrary ClickHouse SQL queries. Traditional query builders trade analytical flexibility for simplicity, preventing teams from easily expressing multi-stage computations like rolling baselines, anomaly detection, or dynamic SLO calculations. To maintain interactivity within dashboards, the system supports ClickHouse query parameters and macros that inject active time ranges, interval sizes, dashboard filters, and source tables. Furthermore, SQL-based alerting evaluates the numeric columns output by these queries, such as returning binary flags when values exceed statistical boundaries. By shifting computational logic directly into SQL, teams can implement complex operational checks without relying on static external thresholds.
ABAC row filtering and column masking policies, governed tags, and data classification are now generally available in Unity Catalog
Unity Catalog now generally offers three complementary data-governance capabilities: Attribute-Based Access Control (ABAC) policies for row filtering and column masking, Governed Tags, and agentic Data Classification. They address per-object access rules, coordination gaps, and manual detection by letting governance teams define tag-based policies once, automatically classify sensitive data, and protect matching objects across catalogs and schemas. Governed tags provide an account-level vocabulary inherited across catalogs, schemas, tables, and columns, while ABAC applies row filters and column masks using tag-based conditions. Classification uses built-in compliance classifiers, custom classifiers, metadata, pattern recognition, and large language models, with human-in-the-loop validation and false-positive exclusions. General availability adds 10x larger policy limits, support for 10,000+ policies per metastore, lifecycle management through SQL, APIs, UI, and Terraform, expanded compliance coverage, and custom classifiers in beta.
Development environments for your cloud agents
Cloud agents need development environments with repositories, dependencies, credentials, and build-system access to test, query services, and verify engineering work rather than merely write code. The release adds reusable multi-repo environments, allowing agents to work across microservices codebases and deliver, test, and verify changes spanning repositories. It also improves Dockerfile-based configuration with build secrets scoped to build steps and layer caching that makes cache hits run 70% faster. Cursor can inspect repositories, determine required tools and dependencies, and generate editable Dockerfile configurations, while its setup flow checks credentials and validates environments; this generator is in private beta. Governance features include environment-specific version history, rollback controls, audit logs, egress allowlists, and isolated secrets, while failed configurations fall back to a base image and work continues.
App-based Worker Notice of Rights (Seattle)
Uber’s Notice of Rights describes protections and information available to app-based workers using its platform for delivery work in Seattle, Washington, under Seattle Bill CB 120294 and Seattle Municipal Code Chapter 8.37. It lists guaranteed minimums of $0.47 per engaged minute, $0.80 per engaged mile, and $5.34 per offer, along with required information before accepting an offer. Workers may decide when to be available and whether to accept, reject, or cancel delivery offers, and are protected from retaliation for exercising covered rights. The notice also covers tip and fraudulent-use policies, cancellation reasons, complaint or civil-action rights, and access for up to three years to information required under Sections 8.37.070(B) and (C); Uber directs workers to Customer Support for those records.
Full-screen Tabs and Compact Chats
This release introduces quality-of-life improvements to the Agents Window, centered on full-screen work areas and more compact agent conversations. Full screen expands files, changes, canvases, PRs, browsers, or terminals across the right panel, replaces chat with a floating prompt bar, and is available through the panel control, command palette, or Cmd/Ctrl+Shift+M. Compact chats offer Compact, Balanced, and Detailed tool-call density settings, ranging from concise results with minimal traces to near-complete step-by-step context. The release also improves PR review visibility, scrolling, streaming, context persistence, MCP authentication, model selection, search, and task status, while fixing reliability issues across PRs, background and cloud agents, MCP/OAuth, shortcuts, hooks, model routing, webhooks, and mirrored repositories.
Development environments for cloud agents
Cloud agents need a laptop-like development environment with cloned repositories, installed dependencies, credentials, and build-system access to complete engineering tasks end-to-end. This release adds configurable multi-repo environments, Dockerfile-based configuration, and tools that let Cursor set up and maintain those environments. Build secrets remain scoped to build steps, while improved layer caching makes cache-hit builds run 70% faster; Cursor also asks setup questions, flags missing credentials, validates configuration, and falls back to a base image with warnings when setup fails. Version histories, admin-controlled rollback, audit logs, and environment-scoped egress and secrets provide governance and isolation across environments for teams running parallelized agents.
Today Intercom becomes Fin
Intercom is changing its company name to Fin while retaining Intercom for its customer service software platform, including the recently launched Intercom 2 rebuild. The company says all 1,400 employees are now employed by Fin, named after its leading customer agent platform, which it says is about to become the largest part of the business. The change follows three years of promoting the service agent category under Fin, often with Intercom in the background, and reflects a belief that established brands carry baggage when repositioning. The CEO argues that newcomers benefited from having no prior market position to explain, despite Intercom’s claim of superior technology, and presents the renaming as part of a broader transformation spanning culture, pricing, products, and investment priorities.
We’ve improved Destination Mode to get you better matches
Destination Mode has been updated to prioritize trip requests that move drivers toward a chosen destination while accounting for added time and distance. Drivers can choose Flexible route, which widens the search area for more opportunities but may lengthen arrival, or Faster route, which limits requests to trips directly on route for potentially quicker arrival but fewer offers. To use it, drivers search for a place in Driver App, enable Destination Mode, select a route, and accept trips. Destination Mode can be used twice daily, with a session starting on an Exclusive trip request; drivers can decline or cancel up to two Exclusive offers on Faster or three on Flexible before the session ends, and those offers still affect Acceptance Rate. Delivery requests remain unfiltered, and the mode cannot be enabled at airports.
The Convergence of Open Table Formats and Open Catalogs: Catalog Commits is Generally Available
Catalog Commits is generally available for Unity Catalog managed Delta tables, aligning Delta with Iceberg’s catalog-oriented model and making the catalog responsible for table discovery, access, and latest table state. The change addresses three coordination problems: metadata “split brain” when engines write directly to storage, fragmented multi-engine governance, and the historical inability to coordinate atomic writes across multiple tables. With Catalog Commits enabled, Unity Catalog brokers table access through standardized APIs, keeping catalog and table state synchronized and enabling consistent authorization, holistic auditability, automated optimizations, and multi-statement, multi-table ACID transactions on Databricks. The release supports Databricks products and engines including Delta Spark, Delta Flink, Starburst Trino, DuckDB, and StreamNative, while Delta Kernel provides a shared path for connector support.
Announcing Databricks student fellows
Databricks is launching the Student Fellows Program, an opportunity for university and college students interested in computer science, AI, and data engineering to become leaders in their campus communities. Fellows receive specialized training from Databricks experts, build hands-on skills with the Databricks platform, and organize campus activities such as hackathons, tech talks, and study groups while connecting peers with resources. The initiative also offers opportunities for free or discounted certification exam vouchers and practical experience intended to support applications for internships with Databricks, its customers, or partners. Student Fellows’ primary mission is to foster a community of learners and serve as a bridge between Databricks and their university communities, with the first cohort currently accepting applications.
Faster Queries and New Capabilities with the Open-Source Databricks JDBC Driver
The open-source Databricks JDBC driver 3.x and later releases address connectivity needs affecting dashboards, spreadsheets, applications, and other data workflows. Compared with the legacy 2.x driver, they deliver up to 30% faster retrieval of large query results while preserving backward compatibility. Architectural changes add full Arrow-based transfer for JDK 16+, a first-class asynchronous execution API, stream-based ingestion into Databricks Volumes, and integration with the Statement Execution API. The driver also supports stored procedures, multi-statement transactions, Unity Catalog metric views, query tags, geospatial and complex data types, plus built-in client telemetry for query latency, metrics, and errors. Its open-source ownership and Databricks maintenance are presented as enabling faster fixes, new features, transparency, contributions, and tighter platform integration.
Updates to Bugbot for Teams and Individuals
Bugbot is replacing its $40-per-seat monthly subscription with usage-based billing for Teams and Individual plans. Existing customers move to the new model at the first billing renewal after June 8, 2026; an annual subscription purchased in May 2026, for example, changes in May 2027, while earlier switching is available in the Cursor dashboard. Teams are billed from on-demand spend, Individuals from included usage, and an average run costs $1.00–$1.50 depending on pull request size and complexity. Usage billing also adds configurable effort levels, including deeper reviews and custom logic for selecting effort: the default retains an 80% bug-resolution rate by merge time, while high effort finds 35% more bugs in internal runs with that rate unchanged.
MCP Marketplace brings real-time intelligence to agentic applications
The MCP Marketplace connects agentic applications with real-time external intelligence alongside enterprise data. The problem appears in use cases such as loan approval, where historical internal records omit market conditions, updated credit signals, property changes, and competitor activity, making manual research a bottleneck. Databricks Marketplace provides governed access to MCP servers from You.com, Moody’s, and Cotality, while Unity Catalog authenticates connections and tracks access and lineage; Lakebase stores state, decisions, and audit trails across multi-step workflows. Examples show agents combining internal data with web research, credit ratings and sector outlooks, or property-resolution and mortgage signals before surfacing decisions for human review, including a commercial-loan flow with recorded sources, timestamps, and approver.
Building outcome-based pricing for Fin for Sales
Fin for Sales uses outcome-based pricing built around qualified pipeline rather than activity: customers pay $10 per qualified lead, with qualification criteria defined by the customer. The model reflects Fin’s role in engaging prospects, gathering information, evaluating them against those criteria, and routing high-intent buyers to sales representatives. The team rejected revenue-share pricing because attribution would include factors outside Fin’s control, while measuring closed revenue would require deep CRM integrations and slow implementation. Disqualifications and support queries are priced at $1, matching the stated service pricing, while the higher qualified-lead price represents pipeline creation. The company says customer research across several pricing models favored outcome-aligned pricing, and cites early customer feedback reporting at least ten times the value.
Supabase Is Now an Official ChatGPT App
Supabase is now an official app in ChatGPT, allowing users to connect Supabase projects and manage database infrastructure through conversation. The app provides 29 tools for executing SQL on Postgres, designing and modifying schemas, listing tables and extensions, checking security recommendations, and handling project operations such as logs, costs, pausing, and restoring. It also supports development branches and migrations, serverless edge functions, and direct Supabase documentation search, while ChatGPT Projects can scope chats to a project reference. Users install it from ChatGPT’s app directory, authorize access to their Supabase organization, and can use it on all Supabase plans with paid ChatGPT plans. The stated result is conversational management of Supabase projects without leaving ChatGPT.
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