All Products

Warka Fitness solves the lack of accessible, personalized fitness and nutrition guidance while helping coaches and gyms digitize and scale their services. Customers receive personalized workout and meal plans from trusted coaches, while coaches and gyms use our platform to create digital products, manage clients, sell programs, and grow their business with modern tools and scientific support.

Waiting in long, crowded lines wastes time and creates frustration for customers and businesses. Werefa lets people join a queue from their phone, track their position and estimated wait in real time, and receive alerts when their turn is near. Businesses can create and manage digital queues, serve customers efficiently, and share access through a simple QR code—no app download required.

Addis Ababa's public transport system is large, real, and almost entirely illegible to the people who use it. The DT4A GTFS 2026 feed alone covers 447 routes across Anbessa (the city bus operator), Sheger, Alliance, a wide array of minibus (shared taxi) associations, and the Addis LRT — but that structured data has historically had nowhere to live for a rider. The majority of trips in the city happen on minibuses, an informal-feeling but heavily used mode that most transit apps ignore in favor of "official" bus and rail lines. Dandii's premise is that if you want a transit app that's actually useful in Addis, the minibus network can't be an afterthought — it has to be first-class, which is why the brand mark itself is a minibus silhouette rather than a generic bus or metro icon. So the problem splits into two related failures Dandii is addressing: 1. Riders can't see or plan around the network. There's no single, current, visual map of "everything that moves people in this city" — which routes exist, where they stop, how often they run, what they cost, and whether a given route is even open today (dynamicclosures happen and aren't broadcast). Dandii's answer is a Google-Maps-style public map that renders all route shapes on a web map with route and stop search, a detail sheet per route (stops, headways, fares, closure banners), and an OpenTripPlanner-powered journey planner so a rider can ask "how do I get from A to B" and get a real multimodal answer. 2. The data that makes that map trustworthy doesn't stay trustworthy by itself. Fares change, routes close for construction or reorganize, and operators shift — and a GTFS feed that's accurate at import time drifts out of date. Dandii treats this as an operations problem, not just a data problem, and builds a role-based console for transport officials: assigning route ids to operators, opening/closing routes with a reason and date range, and managing flat vs. tiered ETB fare pricing. Access is gated by a real RBAC system enforced in middleware, layouts, and every server action — because letting the wrong actor edit fares or close a route is a trust problem, not just a UX one. The emerging third piece: crowdsourced accuracy. The freshest addition tackles the fact that officials alone can't keep all the routes worth of fares current — riders notice price changes before any operator files them. Dandii already has a fare-proposal pipeline (rider submits a correction → console review → approve/reject/supersede), but until now there's been no reason for a rider to bother. The planned "Fare Scout" system borrows Google Maps Local Guides' model: reward approval, not submission, so points track accuracy rather than volume, with levels and badges layered on top to make contributing feel like status rather than a form to fill out. It's explicitly designed so junk submissions net zero and reviewers can't self-approve. Underlying philosophy. Across all of this, Dandii is deliberately utilitarian rather than decorative — "riders need clarity over decoration" is stated directly in the design system. The map is the product; chrome stays quiet. It leans on category conventions riders already know from Google Maps (floating search over a full-bleed map, bott

BugSight is an AI-powered QA assistant that transforms screenshots of UI bugs into developer-ready bug reports in seconds. It automatically detects issues, extracts error details, assigns severity and priority, suggests possible root causes, and generates structured reports that can be exported to tools like Jira or GitHub. This saves QA teams time, improves report quality, and speeds up bug resolution.

Ambalay Maps serves developers, businesses, logistics companies, ride-hailing platforms, e-commerce services, NGOs and public institutions that depend on accurate location data in Ethiopia Most global mapping platforms do not fully understand Ethiopian addresses, landmarks, road conditions, local languages or the way people naturally describe places. This creates problems for delivery, transportation, customer onboarding, field operations and emergency response. Ambalay Maps solves this by providing locally built mapping APIs for geocoding, directions, route planning, travel-time calculations, live tracking, vector maps, and landmark-based location search in Amharic and English. It matters now because more Ethiopian services are becoming digital, but they still lack reliable local mapping infrastructure. Ambalay Maps helps them build faster, reduce operational costs, improve customer experience, and rely on technology designed for the realities of Ethiopia and Africa

The application provides a structured learning journey that helps Amharic-speaking learners improve their English through five integrated modules. 1. Vocabulary Learning Words are organized into daily lessons with Amharic translations, pronunciation, images, and example sentences, making learning simple and manageable. 2. Practical Sentences Learners practice common everyday English through native audio, real-life sentences, and quizzes, helping them communicate naturally. 3. Listening Practice Users improve listening skills with audio lessons, conversation videos, and interactive subtitles where every word can be tapped for its meaning, pronunciation, and translation. 4. Reading Comprehension Graded reading passages include clickable vocabulary, audio support, and comprehension quizzes, helping users build reading confidence and understanding. 5. Speaking Practice Learners listen, record their voices, and receive pronunciation feedback and scores, allowing them to improve speaking confidence through repeated practice. 6. Amharic Support The app provides Amharic translations and localized explanations, making English easier to understand for beginners. 7. Daily Progress Tracking Features such as daily goals, learning streaks, progress statistics, and achievements encourage consistent learning habits. 8. Offline Learning Users can continue learning without an internet connection, and their progress automatically synchronizes with the online database when connectivity is restored.

Unreliable Information Online listings often have outdated or misleading details about hotels, making it hard to know what you're booking. Lack of Transparency Hidden fees, unclear pricing, and vague descriptions leave travelers uncertain about their stay. Safety Concerns Finding safe, trustworthy accommodations in unfamiliar areas can be stressful, especially for foreign visitors. Limited Local Insights Generic booking platforms lack the local knowledge needed to find the best stays in Ethio. Trust, Transparency, and Technology We combine local expertise with modern technology to create the most reliable travel platform for Ethiopia. Every listing is verified, every price is clear, and our AI assistant is always ready to help.

Hivework is for makers, small teams, and operators who want to put AI to work without writing code. Building useful AI automation today means stitching together prompts, tools, connectors, and runtimes — work that demands engineers most small teams don't have. Hivework is a storefront-first platform where you build an AI workflow by describing it in plain language, run it, and share or sell it as a product: a co-builder turns your description into a typed, editable workflow, a visual board shows how your workflows, files, and memory connect, and connectors let agents act in the tools you already use. The result is that you go from idea to a running, shareable AI product in one sitting — no code, no infra, in any language.

AI agents lack the proper grounding and often hallucinate, they also lack the proper tools to conduct deep research. We're very excited to launch the long awaited ScholarXIV MCP today. This MCP provides >30 tools and connects your AI agents and clients directly to ScholarXIV giving it access to our full suite of research tools. Features • Search papers by title, author, abstract, category, or keyword • Read full metadata and abstracts • Bookmark, like, and comment on papers • Create and manage paper collections • Browse and join public collections from other researchers • Create and manage your ScholarXIV Ch.

Check.et solves the problem of "fake screenshot" fraud in Ethiopia, where merchants struggle to manually verify digital payments from multiple providers (Telebirr, CBE Birr, M-Pesa, etc.) in real-time.The Problem: Manual Verification FatigueIn Ethiopia’s rapidly digitizing economy, businesses frequently face customers presenting doctored or reused transaction screenshots. Staff at busy counters, cafés, and retail shops often lack an efficient way to confirm that a payment is genuine, leading to:Revenue Loss: Accepting fake transfers as legitimate payments.Operational Inefficiency: Manually cross-checking bank apps or SMS alerts while customers wait.Reconciliation Chaos: Difficulty organizing transaction history across different bank and mobile money platforms.How It Works: Instant, Standardized VerificationCheck.et acts as a centralized verification layer that integrates directly with major Ethiopian financial institutions. It transforms fragmented, provider-specific data into a single, trusted dashboard.1.Input Data:Under 5 seconds.Merchants simply scan a customer’s payment QR code, paste a transaction reference number, or upload a screenshot/PDF of the receipt into the Check.et web dashboard.2.Real-Time Query:Average <2s response.Check.et queries the official APIs of the relevant financial provider (e.g., CBE, Telebirr, Awash, Dashen, Bank of Abyssinia, M-Pesa, Siinqee, or Zemen Bank) to fetch the actual transaction status.3.Standardized Confirmation:Uniform data output.The platform returns clean, structured data (Payer Name, Amount, Status, and Timestamp) in a consistent format, regardless of which bank was used.4.Audit & Log:Persistent record keeping.Every check is automatically saved to the business's shared workspace, enabling managers to track daily sales, identify trends, and export records to Excel for accounting.Key Features for BusinessesUnified API: Developers can integrate the Check.et REST API to automate verification within their own apps or ERP systems using one standard JSON response format.Team Access: Business owners can add unlimited employees with role-based permissions, allowing staff to verify payments on their own phones without administrative access.Fraud Prevention: The system automatically flags duplicate reference numbers or mismatched payment amounts before the merchant hands over goods or services.

Replaces traditional debter for recording dubes and daily sales for kiosks, boutiques, microshops etc

People often have great or terrible experiences with businesses, products, and services, but those experiences are usually shared in private conversations or scattered across social media where they're hard to find later. As a result, others end up making the same mistakes or missing out on great recommendations. Review.et solves this by providing a dedicated platform where people can share honest reviews and discover trustworthy feedback before making decisions. It helps consumers make informed choices while encouraging businesses to improve through transparency and accountability.