Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
CraftStack
xZeitgeist
Upwork
Contra
AI Consulting Tools
Autotouch AI
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CodeAlly
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
Craftstack helps startups and companies instantly scope their tech ideas, estimate project costs, timelines, and assemble high-quality freelance teams matched by micro-skills. Powered by AI, it streamlines the process from problem statement to project-ready team, removing the friction of traditional hiring and ensuring quick, transparent, and expert-driven builds. Whether you want to work with a managed team, connect with vetted individual freelancers, or just get clarity on project costs, Craftstack puts actionable options in your hands within minutes.
Looker CraftStackCraftStack's answer:
Instant Results: Project scoping, cost estimation, and team matching are automated and delivered instantly, saving days or weeks compared to competitors.
Micro-Skill Precision: Talent searches are based on granular micro-skills, ensuring the right expert fits the actual business problem, not just a general role.
AI-Powered Chat Experience: Users are guided by a chatbot that can clarify scope, offer expert context, and connect you with AI-enriched profiles for 24/7 insight.
Flexible Engagements: Easily choose between managed teams, direct freelance hiring, or just use the estimates to plan in-house. Most traditional platforms force one rigid engagement model.
Built for Speed & Transparency: No sales calls, manual quote chases, or lengthy onboardingโeverything is automated, traceable, and self-serve.
Trust & Quality: A rigorous, multi-step vetting process weeds out low-quality talent, ensuring only proven experts onboard, backed by real use cases and testimonials from VC-backed startups.
CraftStack's answer:
Startup founders and early-stage companies needing rapid, reliable access to high-quality development talent without a full-time hiring commitment.
Mid-size companies and product teams that want to augment internal resources with specialized, pre-vetted experts and flex capacity up or down as needed.
VC funds, accelerators, and innovation labs that desire a fast-tracked route for portfolio companies to launch, iterate, and deliver new products with confidence and speed.
Ops, CTOs, and product leaders seeking transparency, accountability, and clarity in both costs and expected deliverables.
CraftStack's answer:
CraftStack was born out of the foundersโ experience repeatedly facing the frustration of building MVPs and new tech projects in startup environments, wasting precious weeks on talent search, sifting through irrelevant agency pitches, and failing to get clear, upfront cost and time estimates. Recognizing that the market was saturated with platforms that offered access to freelancers but little real guidance or speed, the team set out to reimagine tech hiring for the builder generation.
Their vision: instantly actionable, AI-powered paths from idea to project-ready team. By combining a stringent vetting process with real-time scope estimation, micro-skill mapping, and an AI chatbot-driven UX, CraftStack removes the guesswork and inertia from innovation, giving founders, product leaders, and ops teams total clarity and a true fast lane from vision to product launch.
CraftStack's answer:
CraftStack's answer:
React.js and Next.js for front-end web development, delivering fast, responsive interfaces
Node.js and TypeScript for robust backend APIs and server logic
Python for the AI/ML components and estimation engines
PostgreSQL as the main relational database
AWS (Amazon Web Services) for cloud infrastructure and deployment
Socket.IO for real-time chat and interactive team engagement features
Additional integration of third-party APIs and DevOps best practices ensures high security, scalability, and reliability.
CraftStack's answer:
AI-first startups (undisclosed names, typically VC-backed)
Leading blockchain ventures
Fast-growing SaaS companies
Notable D2C (Direct-to-Consumer) e-commerce brands
Tech accelerators and seed funds using CraftStack to streamline portfolio launches
Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 3 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 4 years ago
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