I made ResumeTailor.ai.

It’s a tool that takes your resume and a job description, then automatically rewrites your resume to match that specific role.

It also gives you an ATS match score and shows what keywords you’re missing, so you know exactly why your resume might not be getting through filters.

You can edit the result, export it as a PDF, and save different versions for different jobs.

Basically, it removes the need to manually rewrite your resume for every application.

If you’re applying to jobs, try it:

https://resumetailor.ai/

If you're a founder thinking about building an AI product, you've probably already noticed that getting a straight answer on cost is nearly impossible. Agencies quote wildly different numbers, freelancers underscope, and everyone has an opinion on which model to use before anyone has defined what the product actually needs to do. 😅

Here's a grounded breakdown of what things actually cost — and more importantly, why estimates go wrong.

Start here before talking to anyone 🎯

The single most expensive mistake founders make is starting with a feature list. You end up paying for complexity that hasn't been validated, while the one workflow that actually matters gets buried under everything else.

Before any vendor conversation, define one workflow. One user type, one task, one measurable outcome. That single constraint will save you more money than any negotiation tactic. ✅

Real cost ranges for 2026 💰

These cover a first stable production version — not a demo, not an MVP that barely works.

🔹 Customer support and assistant tools — $40K to $120K. Works well when your data is organized and integrations are straightforward. Costs climb with multi-language needs or strict access controls.

🔹 Meeting intelligence and transcription — $80K to $200K. Audio processing, speaker identification, action extraction. Recurring inference costs scale fast — model this before committing to pricing.

🔹 Recommendation and personalization engines — $120K to $350K. Looks simple from the outside, significant backend complexity underneath. Data pipelines alone can consume a large chunk of this range.

🔹 Document automation and computer vision — $100K to $300K. Annotation work and QA drive costs well beyond the model training itself.

Not yet ready for custom development? No-code AI platforms can get a focused use case live for $5K to $20K. Less ownership, but a much faster path to learning what your users actually need. 💡

What every budget needs to cover 📋

Most proposals only price the build. Here are all seven areas that will cost you something:

1. Discovery and architecture — defining the problem, auditing your data, mapping dependencies. Skip this and you pay for it twice in rework.

2. Product and model implementation — the actual engineering work. Visible and usually well-scoped.

3. Data preparation — cleaning, labeling, permissions. Almost always takes longer than planned. Almost always left out of first estimates. 😬

4. UX and trust design — how users interact with outputs, what happens when the system is wrong. This drives retention, not just aesthetics.

5. Quality and compliance — testing, security controls, audit logging. Defer this and it returns as incident response at the worst possible moment.

6. Launch instrumentation — analytics, funnels, experiment setup. Without this, every post-launch decision is a guess.

7. Ongoing optimization — prompt tuning, model updates, cost controls. Not optional work. The product either improves or quietly degrades. There is no middle ground. ⚙️

The hidden costs that hit hardest ⚠️

Four things cause most budget overruns and almost never appear in a vendor proposal:

😬 Messy data — if your records are scattered across systems, you're paying for cleanup before the AI can do anything useful

😬 Integration complexity — connecting to your existing tools often takes longer than the AI work itself

😬 Usage-based cloud fees — cheap at low volume, potentially your largest monthly expense at scale

😬 Post-launch tuning — real users behave differently than test users, always

A simple formula for early planning 🧮

Total quarterly cost = delivery milestone budget recurring usage budget optimization reserve (15–30%)

Run three scenarios — conservative 🐢, expected 🚶, aggressive 🚀. Where small assumption changes create large cost swings, that's your real risk. Fix those levers architecturally before you scale.

For founders, the bottom line is this 💬

You don't need a large budget to start. You need a clear problem, a focused first version, and a realistic view of what it costs to keep running after launch. The founders who get this right start narrow, learn fast, and expand only what works.

Full planning guide and cost breakdown 👉 https://unicornplatform.com/blog/budgeting-ai-app-development-in-2026/

#AI #StartupIndia #TechFounders #AppDevelopment #Budgeting #ArtificialIntelligence #FounderLife #SoftwareCosts #ProductDevelopment #DigitalIndia

Apple announced that Tim Cook will become executive chairman of Apple’s board of directors and John Ternus, senior vice president of Hardware Engineering, will become Apple’s next chief executive officer effective on September 1, 2026.

Cook will continue in his role as CEO through the summer as he works closely with Ternus on a smooth transition. As executive chairman, Cook will assist with certain aspects of the company, including engaging with policymakers around the world.

Arthur Levinson, who has been Apple’s non-executive chairman for the past 15 years, will become its lead independent director on September 1, 2026. Ternus will join the board of directors, also effective September 1, 2026.

Ternus joined Apple’s product design team in 2001 and became a vice president of Hardware Engineering in 2013. He joined the executive team in 2021 as senior vice president of Hardware Engineering. Throughout his tenure at Apple, Ternus has overseen hardware engineering work on a variety of groundbreaking products across every category. He was instrumental in the introduction of multiple new product lines, including iPad and AirPods, as well as many generations of products across iPhone, Mac, and Apple Watch.

Source: Apple

A user was able to access another users source code, database credentials, AI chat histories, and customer data are all readable by any free account.

They accessed another user's profile, listed their public projects, and downloaded the source code of an admin panel for Connected Women in AI, a real danish nonprofit. the project was last edited 10 days ago. the developer has 3,703 edits this year. this is not abandoned. this is active.

They extracted the database credentials from the source code and queried it. got back real names, real companies, real linkedin profiles. speakers from Accenture Denmark and Copenhagen Business School. not test data. not "John Doe". real people at real companies who have no idea their information is exposed.

Lovable patched this for new projects. they never patched it for existing ones.

A project created in April 2026 returns 403 forbidden. The same developer's older project, actively edited 10 days ago, returns 200 OK with the full source tree. same API. Same endpoint. same free account. same session. one is protected. the other is wide open.

The first hackerone report was filed March 3, 2026. Lovable marked it triaged, then they shipped ownership checks for new projects and left every existing project exposed. 48 days later nothing has changed. He also claims that every conversation you have with lovable's AI is stored and readable through the same bug.

Source: weezerOSINT

A threat actor has listed their customers' data, source code, databases, and keys up for sale.

A security incident has been identified that involved unauthorized access to certain internal Vercel systems. Customers Vercel credentials were compromised.

As per Vercel, the incident originated with a compromise of Context.ai, a third-party AI tool used by a Vercel employee. The attacker used that access to take over the employee's Vercel Google Workspace account, which enabled them to gain access to some Vercel environments and environment variables that were not marked as “sensitive.”

Source: Vercel

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Why Developers Are Looking for a Postman Alternative in 2026

Postman has been the default API client for over a decade. But in the last couple of years, a growing number of engineering teams have been actively searching for a Postman alternative and for good reasons.

In 2023, Postman announced the end of the Scratch Pad (offline mode), forcing users to sign in and sync data to the cloud. For teams working on sensitive internal APIs or air-gapped environments, this was a dealbreaker. Compound that with mounting pricing concerns as teams scale, and the shift toward open source tooling, and you have a developer community actively exploring what comes next.

This guide covers the best Postman alternatives available in 2026 with a focus on open source, free, and CI/CD-ready tools so you can make an informed switch without disrupting your workflow.

What to Look for in a Postman Alternative

Before diving into specific tools, here are the criteria that matter most to developers evaluating a switch:

• Open source or source-available — so you can self-host, audit, and contribute

• Free tier that actually covers real usage (not just toy projects)

• CI/CD integration — native support for GitHub Actions, GitLab CI, Jenkins, etc.

• API contract testing and mocking out of the box

• No mandatory login / ability to run fully offline

• Git-friendly — tests and collections stored as code, not locked in a SaaS platform

• Active community and maintenance

Postman Alternatives at a Glance (2026 Comparison)

The table below compares the most popular Postman alternatives across the criteria developers care about most:

Tool

Open Source

Free Tier

CI/CD Ready

Standout Feature

Keploy

Yes

Yes (unlimited)

Yes

AI-powered test generation

Bruno

Yes

Yes

Limited

Git-friendly, offline-first

Hoppscotch

Yes

Yes

Limited

Lightweight, browser-based

Insomnia

Partial

Limited

Yes

GraphQL support

Apidog

No

Yes (limited)

Yes

All-in-one: design test mock

Postman

No

Yes (limited)

Yes

Largest ecosystem

The sections below explore each tool in detail, including setup, strengths, and what kind of team each is best suited for.

1. Keploy — AI-Powered, Open Source Postman Alternative

Keploy is the most technically differentiated alternative on this list. While most tools replicate what Postman does (send requests, write assertions, organize collections), Keploy takes a fundamentally different approach: it records real API traffic and automatically generates tests and mocks from it.

This means instead of manually writing test cases for every endpoint, Keploy captures what your API actually does in integration or staging environments and turns that into a regression test suite complete with realistic mock data.

Keploy Feature Overview

Feature

Keploy Details

License

Apache 2.0 (fully open source)

Language support

Go, Node.js, Python, Java, and more via SDK

Test generation

AI-powered — records real traffic, generates test mocks

CI/CD integration

Native support for GitHub Actions, GitLab CI, Jenkins

API contract testing

Built-in; catches regressions automatically

API mocking

Auto-generated mocks from recorded traffic

Self-hosted

Yes — full on-premise support

Collaboration

Git-based — teams version-control tests like code

Community

Active Discord GitHub Issues

Why Developers Choose Keploy as a Postman Alternative

• Fully open source under Apache 2.0 no proprietary lock-in

• Eliminates manual test writing record traffic once, get tests automatically

• Built for CI/CD from day one integrates into your pipeline, not just your IDE

• Self-hosted deployment supported ideal for teams with data residency requirements

• API contract testing that catches breaking changes before they hit production

• Works with REST, gRPC, and more

Best For

Backend engineering teams who want to move fast without sacrificing test coverage. Particularly strong for microservices architectures where manually writing and maintaining API tests at scale is painful.

GitHub: github.com/keploy/keploy

Docs: keploy.io

1. Bruno — Git-Friendly, Offline-First API Client

Bruno is the open source Postman alternative that has gained the most organic traction among developers since Postman removed offline mode. It stores collections directly in your filesystem using a plain-text markup language called Bru which means your API collections live in your Git repository alongside your code.

Why Developers Love Bruno

• Completely offline — no account, no cloud sync, no telemetry

• Collections stored as .bru files — version-controlled natively with Git

• Fast and lightweight — built with Electron but minimal in footprint

• Supports environments, variables, scripts, and assertions

• Actively maintained open source project with a large and growing community

Limitations

• No built-in API mocking

• CI/CD integration requires extra setup (no native test runner in pipelines)

• Collaboration features are limited compared to team-focused tools

Best For

Individual developers and small teams who want a no-nonsense, offline-first Postman replacement and are comfortable storing collections in Git.

GitHub: github.com/usebruno/bruno

1. Hoppscotch — Lightweight Browser-Based API Testing

Hoppscotch (formerly Postwoman) is a browser-based, open source API client. It runs entirely in the browser, requires no installation, and supports REST, GraphQL, WebSocket, and SSE out of the box.

Key Strengths

• Zero install — open a browser, start testing immediately

• Supports REST, GraphQL, WebSocket, MQTT, Socket.IO, SSE

• Self-hostable via Docker in under five minutes

• Clean, minimal UI with dark mode

• Open source — MIT licensed

Limitations

• No AI-powered test generation or traffic recording

• Limited CI/CD-native integration

• Team collaboration features are on the paid cloud plan

Best For

Developers who need a fast, lightweight API client for quick testing especially useful when you want to test without installing a desktop app.

GitHub: github.com/hoppscotch/hoppscotch

1. Insomnia — Feature-Rich API Client with GraphQL Support

Insomnia has been a popular Postman alternative for years, especially among developers working with GraphQL APIs. It supports REST, GraphQL, gRPC, and WebSocket, and has a clean interface that many developers prefer over Postman's increasingly bloated UI.

Note: In 2023, Kong (Insomnia's parent company) controversially removed local storage and required users to log in similar to Postman's Scratch Pad removal. The community forked the last offline version. If local storage is important to you, verify the current state before adopting.

Key Strengths

• Excellent GraphQL support with introspection and schema exploration

• Supports REST, gRPC, WebSocket, and GraphQL in one tool

• Plugin ecosystem for extensibility

• Clean, developer-friendly UI

Limitations

• Partial open source core is open, some features are cloud-only

• Mandatory login controversy (check current version)

• API mocking is not built in

Best For

Teams that work heavily with GraphQL or gRPC APIs and want a polished, feature-rich alternative to Postman.

1. Apidog — All-in-One API Design, Testing, and Mocking

Apidog is a newer entrant that positions itself as an all-in-one API platform covering API design (with OpenAPI/Swagger), testing, mocking, and documentation in a single tool. It has gained significant traction, particularly in Asia, as a Postman replacement.

Key Strengths

• API design, testing, mocking, and documentation in one platform

• Built-in mock server no external tooling needed

• OpenAPI/Swagger import and export

• CI/CD integration via CLI

• Better free tier than Postman for teams

Limitations

• Not open source proprietary SaaS with a free tier

• Less community tooling and integrations compared to Postman

Best For

Teams wanting a full API lifecycle tool (design to test to docs) without the Postman price tag. A strong Apifox alternative as well.

Other Postman Alternatives Worth Knowing

Thunder Client (VS Code Extension)

Thunder Client is a REST API client built as a VS Code extension so if your team lives in VS Code, you never have to leave the editor to test APIs. It is lightweight, supports environment variables, and stores collections as JSON. Ideal for developers who want Postman-like functionality without opening another application.

RapidAPI Client

RapidAPI's client (formerly Paw on macOS) is a native desktop application for API testing. It has deep macOS integration and excellent GraphQL and REST support. A good choice for macOS-first teams.

curl httpie

For developers who prefer the terminal, curl remains the gold standard, and httpie provides a more human-friendly CLI interface for REST API testing. Both are free, fully open source, and trivially scriptable in CI pipelines no GUI required.

REST Client (VS Code Extension)

REST Client is a VS Code extension that lets you write HTTP requests directly in .http or .rest files, which can be committed to Git and shared across teams. Minimal overhead, great for lightweight API testing alongside your code.

Keploy vs Postman: A Technical Deep Dive

For teams considering Keploy as their primary Postman alternative, here is a more detailed breakdown of how the two tools differ at a technical level.

How Postman Works

Postman is fundamentally a manual API client. You define requests, write test scripts in JavaScript, organize them into collections, and run them via the Collection Runner or Newman (Postman's CLI). Tests are assertions you write by hand checking status codes, response body values, headers, and so on.

This works well for early-stage API exploration and one-off debugging. But at scale hundreds of endpoints, multiple services, daily deployments maintaining a hand-written Postman collection becomes a significant engineering burden.

How Keploy Works

Keploy instruments your application at the network layer and records actual API interactions the full request-response cycle, including any downstream service calls. It then replays these recordings as automated tests, with the downstream dependencies mocked using the recorded data.

The result: you get a full regression test suite with realistic mocks, generated from production or staging traffic, with zero manual test authoring. When your API changes, Keploy surfaces exactly which previously-passing scenarios now break.

Key Differences

• Test creation: Manual in Postman; automatic in Keploy via traffic recording

• Mocking: Postman requires mock servers configured manually; Keploy generates mocks from real traffic

• CI/CD: Both support CI/CD, but Keploy is designed pipeline-first

• Open source: Keploy is fully open source; Postman is proprietary

• Self-hosted: Keploy supports full on-premise; Postman requires cloud for collaboration

• API contract testing: Native in Keploy; requires setup in Postman

How to Migrate from Postman to an Open Source Alternative

Switching API testing tools does not have to be painful. Here is a practical migration path for teams moving off Postman.

Step 1: Export Your Postman Collections

In Postman, export your collections as Collection v2.1 JSON files. Most Postman alternatives (Bruno, Hoppscotch, Apidog, Insomnia) can import these directly.

Step 2: Choose the Right Tool for Your Workflow

• If you want an offline, Git-native replacement: Bruno

• If you want a browser-based, zero-install client: Hoppscotch

• If you want AI-powered test generation CI/CD: Keploy

• If you want an all-in-one platform (design, mock, test, docs): Apidog

Step 3: Migrate Environment Variables

Environment variables in Postman (dev, staging, prod) map directly to environment files in Bruno (.env per environment), Hoppscotch (Environments tab), and Keploy (environment config in YAML). Export your Postman environments and re-import or recreate them.

Step 4: Integrate into CI/CD

For Keploy, add the Keploy CLI to your pipeline and run recorded tests on every PR. For Bruno, use the bruno CLI (bru run) in your pipeline. For Hoppscotch, use the hopp CLI. All support JUnit XML output for test reporting in GitHub Actions, GitLab CI, and Jenkins.

Frequently Asked Questions

Is Postman open source?

No. Postman is a proprietary commercial product. Some companion tools (like Newman, the CLI runner) are open source, but the core Postman application is not. If open source is a requirement, consider Keploy, Bruno, or Hoppscotch.

What is the best free alternative to Postman in 2026?

For a direct drop-in replacement: Bruno (offline, open source, Git-native). For AI-powered testing with CI/CD integration: Keploy (fully open source, free). For browser-based quick testing: Hoppscotch (free and self-hostable).

What is the best Postman alternative for CI/CD pipelines?

Keploy is the strongest choice for CI/CD-first teams it generates tests automatically from traffic and integrates natively with GitHub Actions, GitLab CI, and Jenkins. Bruno's bru CLI also works well in pipelines if you prefer a collection-based workflow.

Can I use Postman alternatives for API contract testing?

Yes. Keploy has native API contract testing that automatically detects regressions when your API changes. Apidog and Insomnia also support contract testing to varying degrees.

Is there a Postman alternative without login?

Yes — Bruno is fully offline and requires no account. Hoppscotch can be self-hosted with no external account required. Keploy can also be deployed fully on-premise.

What is the best open source alternative to Postman for small teams?

Bruno for simple REST/GraphQL testing with Git-native collections. Keploy for teams that want automated test generation without the overhead of writing and maintaining tests manually.

Conclusion: Which Postman Alternative Should You Use?

The right Postman alternative depends on what frustrated you about Postman in the first place.

• Frustrated by mandatory cloud sync and no offline mode? Switch to Bruno.

• Frustrated by cost at scale? Start with Hoppscotch or Keploy — both free and open source.

• Frustrated by manual test maintenance? Keploy is the only tool on this list that eliminates hand-written tests entirely.

• Need a full API lifecycle platform? Apidog is the strongest all-in-one alternative.

For engineering teams prioritizing CI/CD integration, open source licensing, API contract testing, and automated regression coverage — Keploy represents the most technically advanced alternative to Postman in 2026.

Learn more and get started: https://keploy.io/blog/community/postman-alternative

We Analyzed 30 Plagiarism Reports: The 8 Patterns That Cause 90% of Flags

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