I promoted my app on reddit by having a discussion about the problem my app solved. Yesterday night my app was released on playstore and today morning reddit removed all my posts and is not allowing for a new post.
Please help as I am loosing very precious time.

When practicing SQL for technical interviews, standard platforms give you a schema, a target output, and then reveal the answer query when you get stuck. The problem? In a real interview setting—whether at a product tech giant or a major service firm—interviewers evaluate how you break down the problem step-by-step, not just whether you remembered standard syntax.

After analyzing interview patterns across top tech companies and service firms globally (US, India, Europe, Middle East), I noticed most candidates trip over core logical execution before they even write their query:

1. Logical Priority & Parser Rules: Getting tripped up by operator precedence (e.g., WHERE a AND b OR c) or evaluation order.
2. Edge Case & Tie Handling: Missing tie-breaking rules, failing to handle NULL behavior properly, or confusing ROW_NUMBER(), RANK(), and DENSE_RANK().
3. Business Scenario Translation: Struggling to convert vague requirements into crisp conditional aggregates or window frames.

How Companies Approach SQL Differently

From analyzing real-world interview patterns:

• Product Giants (Google, Meta, OpenAI, Anthropic, Apple, Nvidia, Microsoft, IBM, Bloomberg): Focus heavily on tracking user state over time, sessionization, window frames, dynamic metrics, and tie-breaking edge cases.
• Service & Consultancy Firms (Capgemini, Cognizant, Deloitte, Accenture, TCS, Infosys, Wipro, PwC, EY, e& enterprise): Focus heavily on core joins, date/timestamp manipulation, data quality checks, conditional logic (CASE), and business-rule filtering.

Building Query Intuition First

To help developers build genuine intuition without squinting at huge, unreadable ER diagrams on phone screens, I spent the last few months building an Android app called SQL Star.

What makes the learning approach different:

• Scenario Breakdown over Syntax: Instead of just showing the output query, every question provides a Business Snapshot, Step-by-Step Thinking Process, Clause Breakdown, Common Pitfalls, and Interview Tips.
• 100% Company-Tailored Scenarios: Every single question is crafted around real business scenarios specific to that company's ecosystem (e.g., OpenAI token usage caps, Google product reach, warehouse capacity alerts) so questions never feel copy-pasted.
• Offline Local Execution: Powered by an on-device SQLite engine. Zero latency, instant query execution, no servers required, and 100% ad-free.
• 2-Table Sandbox for JOIN Practice: A dedicated free-hand execution section with pre-loaded 2-table schemas to practice multi-table JOIN logic, cardinalities, and aggregations and an option to create your own custom table without writing long create table query.
• Interpreter & Logic MCQs: Scenario-based multiple-choice tests targeting query parser order and operator priority traps.

(For those interested in comprehensive prep, the app also includes offline resource manuals—covering Query Optimization, System Design Case Studies, and concept diffs).

Discussion for the Community

I'd love to hear from this community that how would you approach when provided a real company based question/scenario during the interview?

Hi I launched my first app today. Want someones advice on how to promote and market the app organically without paid promotions. App is an offline android sql app which helps users to prepare for technical sql rounds in interviews by letting them practice on interview inspired questions across 25 companies all over the globe with an extensive learning dashboard for 1000+ questions

When practicing SQL, standard platforms usually give you a schema, a goal, and then reveal the output query when you get stuck. The problem is that in a real interview setting, interviewers are evaluating how you break down the problem—not just whether you remembered GROUP BY syntax.

I spent the last few months building an Android app called SQL Star aimed strictly at developing query intuition rather than rote memorization.

To make it genuinely useful for interview prep:

1. Offline Execution: Built a local SQLite execution engine so queries run instantly on-device without needing internet/servers.
2. Deep-Dives over Final Answers: Rather than just showing the output query, each question is paired with a business scenario, step-by-step breakdown of why specific clauses are chosen, common edge cases, and mistakes to avoid.
3. Interview inspired: Structured 1,000 scenario-driven and interview inspired questions across different company domains.

It's hitting the Play Store soon. Would love to get your thoughts on how you usually approach developing query logic versus just memorizing function signatures.