AI Resume Builder

Problem We Observed

Most candidates lose interviews because their resumes and cover letters aren’t precisely tailored to each job description and fail ATS filters.

Creating custom, keyword-aligned resume is slow, error-prone, and wastes valuable LinkedIn data that already contains a candidate’s full work history.

Business POV

Launching a one-click AI Resume Builder under the Fynd lets us tap the $9B resume-tech market while funneling Traffic into Fynd Academy

Academy-certified candidates with employers creates B2B synergy that positions Fynd as both talent-prep and talent-supply partner together

Goals we had in mind

Help candidates craft ATS ready resume in minutes customised for every JD

Empowers recruiters with pre-scored, Fynd academy certified profiles tailored for their requirements

Brand flywheel where resume creator wins boost in enrolments for Fynd academy

Process Flow

Understanding the Space

AI in Hiring on the Rise

Employers are rapidly adopting automation in recruitment, 68% of companies are expected to have AI-driven hiring

Recruiter Efficiency Gains

Now, algorithms can cut initial screening time by up to 75%, turning days of work into minutes

Better Matching & Outcomes

69% of job seekers who used ChatGPT for their resume saw a higher response rate from employers

Confidence & Concerns

Not all effects are positive 65% of job seekers express discomfort with AI-driven hiring

User Behavior Trends Post-COVID & AI Adoption

Post-COVID, India's job search landscape is now mostly digital. Around 60–90 million Indians are expected to work remotely by 2025, leading to increased reliance on online profiles (particularly LinkedIn), ATS-friendly resumes, and virtual hiring processes.

87% of Indian job seekers now use AI to enhance their creativity in resumes. Generative AI tools, especially GPT-4, have changed resume creation behavior. Benefits reported include significant time savings 80%, easier writing processes 79%, and increased creativity.

Competitive Landscape & Differentiation Opportunities

Global Resume Builders: Resume.io, Zety, Novorésumé, etc., which offer template-based online resume creation

AI-Focused Startups: Rezi and Resume Worded are notable. Rezi positions itself as an resume optimizer with strong ATS focus & scan job descriptions

Few tools seamlessly integrate with LinkedIn in a user-friendly way. Creating ability to create user’s LinkedIn profile and auto-generate a resume

An AI resume builder tuned to Indian context is rare. Differentiation can include templates that cater to local recruiter preferences

Asking the Users

Throught the series of 3 surveys we tried to dig upon what tools they are using apart from fynix.What is their experience when using fynix what they like in other prodeucts and overall deeply understand their day to day workflow

AI metric-suggest chips are valued: Users see immediate benefit when the tool surfaces numbers to quantify achievements.

Privacy & Authenticity Concerns: Worries about résumé data being stored or AI exaggerating claims; transparency toggles and “truth-check” indicators requested.

Voice vs. Automation Tension: Users crave AI speed but insist on a final human say; preview-before-apply and tone presets build trust.

Motivational Gamification: Progress rings and real-time score bumps increase editing engagement and satisfaction.

Keyword Anxiety: Fear of ATS rejection drives desire for JD-based score and live highlight of missing terms.

Fresh grads need help quantifying projects, switchers need help translating past wins into new-role language

Success Heuristic: Users judge a “good” resume by quick recruiter callbacks (≤ 1 week) or peer validation, not by aesthetics—so performance metrics must be surfaced.

Returners need help reframing career gaps all of them benefit from AI that adds metrics, rewords achievements, and builds a confident narrative.

MVP Strategy & Core Feature Set

MVP Goal: Help users create a tailored, ATS-optimized resume and cover letter with minimal effort, using their LinkedIn data and job description as inputs. The MVP should deliver immediate, tangible value (a finished resume/letter and actionable feedback) in one sitting.

IN A BENTO BOX

LinkedIn Import & Parsing

AI Resume Generator (Base Draft)

Job Description Matching & Scoring

Real-Time AI Feedback & Improvement Suggestions

ATS Compliance Check

Clarity and Tone Suggestions

Skill Gap Insight

ATS-Friendly Templates & Formatting

Legal & Ethical Considerations

LinkedIn Data Usage: We must strictly avoid unauthorized scraping of LinkedIn profiles.

Data Privacy & Protection: The resumes and personal info we handle are sensitive personal data

AI Bias & Fairness: Our AI suggestions should be monitored

for inadvertent bias.

Transparency with Users: It’s good practice to let users know that AI is assisting in the process.

Using Novus DS System

The Novus Design System is Fynd’s native design system made for creating consistent, user-friendly interfaces. It emphasizes clear, modern, and empathetic elements, ensuring every interaction is trustworthy, direct, and supportive also guiding users effortlessly through digital experiences.

Say Hi to Fynd's AI Resume Builder

Let a user paste their LinkedIn profile and effortlessly receive an editable, ATS‑ready resume draft in < 60 seconds without even writing a single word

Collection of multiple résumés and cover letters for every type of opportuinity

Dashboard to create and store multiple resume and cover letters. Tap the built‑in AI Assistant for on spot rewrites, and run an instant JD Check to see how each document scores against any JD

All in one left panel

Thoughtfully curated sidebar puts AI Assistant, JD Check, and AI Enhance at fingertips, while drag and drop controls let you rearrange, add, or refine any section in seconds, maximum impact, minimal effort

Resume and ATS score for the win

Drop in a JD and the AI instantly scans your resume, generates an ATS score, and suggests edits, so you can customise your resume for the role in seconds

Core Problem

Fynix was acting as a VS Code plugin and is accessible only to developers familiar with coding tools, preventing the product from reaching its full potential and benefiting all users

Business Goals

Increase traffic Fynix plugin for with a new entry point

Develop a usecase where Fynix can be utilised by all

Give developers freedom to multitask at the same time

Understanding Fynix

Fynix offers AI native products designed to make software development more efficient and enjoyable. Fynix Copilot offers real-time coding assistance directly in your IDE, while the Code Quality Agent automates pull request reviews for faster, cleaner code integration

Understanding Current Space

As tools evolve, we’ve been closely tracking AI patterns to keep Fynix ahead of the curve. After discussions with the product and engineering teams, we decided to reposition Fynix as an engineering-focused platform—a space where developers, both new and experienced, can ideate and build.

Rather than limiting it to a VS Code plugin, we’re launching Fynix as a standalone chat interface, with an optional VS Code extension. This shift makes Fynix more accessible and relevant to a broader audience.

Listening to the user

"We need docstring functionality in the UI, as it often takes significant time to understand what the code is doing."

"During development, constantly switching between different parts of the code can slow us down."

"It’s hard to find the right string without proper navigation, we end up scrolling a lot."

"Now there are so muny models, I'm not sure which models to use and when"

Proposed Improvements

After user interviews and stakeholder workshops, we created journeys in which Fynix becomes a chat-based assistant powered by 5+ language models. It automatically recommends the best model for beginners, lets developers get new prompts through a built-in library, and serves as a private coding partner. Each journey ends with a one-click export to VS Code, so teams can move from idea to runnable code without friction bringing AI into their everyday workflow.

Setting up AI Principles

Using Mantine System

Mantine’s extensive design system, theme flexibility, and active community remove weeks of UI groundwork and let the team focus on the real differentiator: multi-model AI interface. Choosing Mantine keeps WCAG-friendly foundation, accessible, and future proof

Say Hi to the New Fymix with light and dark modes

Welcome to Fynix’s new chat interface now with multiple models, built-in web search, and media uploads. Pick a prompt from the library and go from idea to output in minutes

AI assistant for every type of content

AI Assistant instantly generates or rewrites content in your tone of voice, while staying fully aware of the context of the JD. So every line sounds like you and fits the format

Styles and colors for everyone

With wide variety of templates, patterns and color schemes that are ATS friendly

Inline editing for small changes

With the inline toolbar, instantly rewrite it with AI, or drop in precise date timelines for experiences

Ask the users how the product feels

We ran a remote, moderated usability study with six participants including two fresh graduates, two mid‑career switchers, and two return‑to‑work professionals to mirror our core personas

Each tester began with an empty dashboard, imported a LinkedIn profile, tailored one résumé for a supplied job description, and explored the AI toolbar for inline rewrites and JD scoring

Instant JD‑Score Delight – Testers loved seeing their résumé score update in real time; the progress ring turned editing into a “game” and kept them iterating.

Inline‑AI Edits Felt Seamless – Drag‑to‑highlight + “Rewrite with AI” shaved minutes off tweaking bullet points; users said it “felt like having Grammarly for résumés.”

Need Keyword Highlights – Several users asked for automatic highlighting of the most relevant JD keywords inside their resume so they can spot gaps and emphasise critical terms.

Section Re‑order Discovery Gap – Two of five testers didn’t notice they could drag sections in the left panel; they suggested a short tooltip or first‑time nudge.

Results we say

Candidate Success

24 K users built at least one résumé; median creation time fell from 90 → 22 minutes.

* Average JD‑match score rose by 28 points, lifting interview‑callback rates +34 % vs. control group

Fynd Academy Flywheel

* 13 % of builder users clicked a skill‑gap course CTA; 5.6 % converted to paid enrolments, contributing to 18% of the revenue.

Together, these results demonstrate a self sustaining ecosystem: better resumes win interviews, satisfied users up‑skill through Fynd Academy, and recruiters gain faster access to job‑ready talent driving revenue and brand equity for Fynd

Back

Creating Next-Gen of AI Resume Builder for Fynd

Most candidates lose interviews because their resumes and cover letters aren’t precisely tailored to each job description and fail ATS filters. Creating custom, keyword-aligned resume is slow, error-prone, and wastes valuable LinkedIn data that already contains a candidate’s full work history.

Launching a one-click AI Resume Builder under the Fynd lets us tap the $9B resume-tech market while funneling Traffic into Fynd Academy

Academy-certified candidates with employers creates B2B synergy that positions Fynd as both talent-prep and talent-supply partner together

Help candidates craft ATS ready resume in minutes customised for every JD

Empowers recruiters with pre-scored, Fynd academy certified profiles tailored for their requirements

Brand flywheel where resume creator wins boost in enrolments for Fynd academy

Fynix was acting as a VS Code plugin and is accessible only to developers familiar with coding tools, preventing the product from reaching its full potential and benefiting all users

Fynix offers AI native products designed to make software development more efficient and enjoyable. Fynix Copilot offers real-time coding assistance directly in your IDE, while the Code Quality Agent automates pull request reviews for faster, cleaner code integration

Fynix offers AI native products designed to make software development more efficient and enjoyable. Fynix Copilot offers real-time coding assistance directly in your IDE, while the Code Quality Agent automates pull request reviews for faster, cleaner code integration

Most candidates lose interviews because their resumes and cover letters aren’t precisely tailored to each job description and fail ATS filters.

Creating custom, keyword-aligned resume is slow, error-prone, and wastes valuable LinkedIn data that already contains a candidate’s full work history.