We are looking for a 2-4 years GoLang & React full stack devs for a MVP product development.

Our client is building a fleet management system and will be responsible for the architecture.

We expect to bring product engineering and help make tradeoffs with a vision to faster time to market over tech debt.

It will be a three month assignment initially with contract to hire.

PS - This would need a 4 hour assignment to be submitted and you can use any of AI tools for assistance.

Strictly looking for Indian devs but we pay competitive rates

Interested folks DM me with your details, hourly rate and total hours per week you can commit

Hi,

I am trying to book appointment for my B1/B2 visa in India and not successful. Are there any workarounds to get an appointment like logging in at a specific time to see slots?

I recently started meditating and I couldn't find purpose or impact after meditation. Moreover I was observing a lot of patterns and have no one to talk to.
I started conversing with AI about the patterns to get a direction for interpretation
Did anyone try something similar before? If yes would love to learn your experience or exchange notes

Next week is my wife birthday i wanted to surprise her with good food. However I dont think i will be able to give her the surprise as she can easily spot what I am doing😅

Looking for someone or pointers who can provide chepala pulusu, raju gari kodi pulao and pulasa for a cost.

Figulus is hiring experienced ALM Developers/Consultants for a remote engagement with a confidential enterprise client.

Roles and Responsibilities

• Work on an SPM migration from Oracle to SAP HANA
• Develop and maintain QB queries and database functions
• Work with PMPRO database packages
• Build and manage data-extraction processes
• Develop and maintain file-sweep workflows
• Write and maintain Groovy scripts
• Develop SQL scripts, stored procedures and database views
• Create and modify report templates
• Validate migrated data and database objects
• Troubleshoot migration, database and application-related issues
• Coordinate with offshore and client-side technical teams
• Document technical changes, fixes and migration activities

What Is Expected

• 8–15 years of overall IT experience
• Strong hands-on experience as an ALM Developer or Technical Consultant
• Experience working with Oracle databases
• Experience with SAP HANA or Oracle-to-HANA migration projects
• Strong SQL and database programming skills
• Experience with stored procedures, functions, packages and views
• Hands-on experience with Groovy scripting
• Understanding of extract-file and file-processing workflows
• Ability to independently analyse and resolve technical issues
• Good communication and documentation skills
• Availability to work from 2:30 PM to 11:30 PM IST
• Immediate or short-notice availability is preferred

Experience with SPM, PMPRO or similar ALM platforms will be an advantage.

Engagement Details

• Company: Figulus
• Client: Confidential enterprise client
• Work mode: Fully remote
• Location: India
• Shift timing: 2:30 PM to 11:30 PM IST

How to Apply

Send a Reddit DM your updated resume with the following details:

• Current location
• Total years of experience
• Relevant ALM experience
• Oracle-to-HANA migration experience
• Current employer
• Current notice period
• Earliest joining date
• Current and expected CTC

Please mention ALM Developer – Oracle HANA in the subject or message.

Figulus is hiring experienced ALM Developers/Consultants for a remote engagement with a confidential enterprise client.

Roles and Responsibilities

• Work on an SPM migration from Oracle to SAP HANA
• Develop and maintain QB queries and database functions
• Work with PMPRO database packages
• Build and manage data-extraction processes
• Develop and maintain file-sweep workflows
• Write and maintain Groovy scripts
• Develop SQL scripts, stored procedures and database views
• Create and modify report templates
• Validate migrated data and database objects
• Troubleshoot migration, database and application-related issues
• Coordinate with offshore and client-side technical teams
• Document technical changes, fixes and migration activities

What Is Expected

• years of overall IT experience
• Strong hands-on experience as an ALM Developer or Technical Consultant
• Experience working with Oracle databases
• Experience with SAP HANA or Oracle-to-HANA migration projects
• Strong SQL and database programming skills
• Experience with stored procedures, functions, packages and views
• Hands-on experience with Groovy scripting
• Understanding of extract-file and file-processing workflows
• Ability to independently analyse and resolve technical issues
• Good communication and documentation skills
• Immediate or short-notice availability is preferred

Experience with SPM, PMPRO or similar ALM platforms will be an advantage.

Engagement Details

• Company: Figulus
• Client: Confidential enterprise client
• Work mode: Fully remote
• Location: India

Remote

How to Apply

Send a Reddit DM your updated resume with the following details:

• Current location
• Total years of experience
• Relevant ALM experience
• Oracle-to-HANA migration experience
• Current employer
• Current notice period
• Earliest joining date
• Current and expected CTC

Please mention ALM Developer – Oracle HANA in the subject or message.

I have seen restuarants predicting demand and preparing supplies everyday but however, most restuarants dispose off food at the end of the day as an ethical practice.

Also, there is no simple way to sell surplus food quickly before closing.

That is the problem we are trying to solve with RepostFood in Vizag.

RepostFood helps restaurants, cafes, bakeries, cloud kitchens, sweet shops, and snack outlets sell their surplus food at the end of the day through a simple Surprise Bag model.

Here is how it works.

Instead of throwing away unsold food, your outlet can list a limited number of Surprise Bags for nearby customers. Each bag contains good-quality surplus items from that day. Customers know your restaurant or bakery name, but they do not know the exact items inside because it depends on what is left at closing time.

A bag worth around ₹300 to ₹500 can be sold at a discounted price of ₹149, ₹199, or ₹249 depending on the type of food. Customers get a great deal, your outlet recovers part of the cost, and good food does not end up in the bin.

We are starting with selected outlets across Vizag and will be onboarding only a limited number of partners in each area during the first phase.

If your restaurant, cafe, bakery, sweet shop, cloud kitchen, or snack outlet has daily surplus food and you would like to convert that waste into revenue, we would love to speak with you.

Just list your surplus, sell what would have been wasted, and help make sure good food reaches people instead of landfills.

DM me for more details and link in comments.

We are building an app focused on Students consumer behavior and curious if Gitam has any restrictions for their hostelers entry and exit

I am looking for students/freelancers who have interest in sales to collect few detaills talking to bakeries and restaurant owners in selected areas in Vizag.

Its a one day activity and I will be paying a base pay + data collected along with allowance for bike petrol & zomato food coupon.

DM me for more information. Ideally suits to students and anyone in restuarant sales.

I am an ex-product lead worked with FAANG equivalent companies in Europe and for Middle east markets.

I’m looking for a cofounder for TrustFloor.

TrustFloor is built around a simple belief:

AI agents shouldn’t start on autopilot.

They should earn it.

As AI SDRs and other business agents start touching CRM, support, and revenue workflows, teams face a new governance problem.

Access control can answer:

Can this agent access HubSpot, Salesforce, Intercom, or Zendesk?

But it does not fully answer:

Should this specific action happen automatically?

For example, should an AI SDR be allowed to:

\* update a CRM field

\* change deal stage

\* overwrite lead source

\* change account ownership

\* send outbound to a strategic account

\* trigger a workflow

TrustFloor evaluates agent actions before they hit business systems. It returns allow, review, approve, or deny. Agents earn per-topic autonomy through verified outcomes, policy floors stay non-negotiable, and every decision is logged.

DM me for demo link

I’m now looking for a cofounder who can help turn this into a serious enterprise company.

The ideal person brings one or more of:

\* Enterprise SaaS sales / GTM experience

\* RevOps, CX, security, GRC, or AI infra background

\* Fundraising experience or investor credibility

\* Strong customer discovery and design-partner access

\* Product instincts for technical B2B platforms

What I bring: product thinking, domain insight, early demo execution, and the core thesis around earned autonomy for AI agents.

What I’m looking for: someone who can help with customer discovery, enterprise positioning, design partners, fundraising, and early GTM.

This is early, but the timing feels right. Agents are moving from recommendations to actions, and companies will need a trust layer before they let those agents operate with more autonomy.

If this space is interesting to you, or you know someone who would be a strong fit, I’d love to connect.

I am an ex-product lead worked with FAANG equivalent companies in Europe and for Middle east markets.

I’m looking for a cofounder for TrustFloor.

TrustFloor is built around a simple belief:

AI agents shouldn’t start on autopilot.

They should earn it.

As AI SDRs and other business agents start touching CRM, support, and revenue workflows, teams face a new governance problem.

Access control can answer:

Can this agent access HubSpot, Salesforce, Intercom, or Zendesk?

But it does not fully answer:

Should this specific action happen automatically?

For example, should an AI SDR be allowed to:

* update a CRM field

* change deal stage

* overwrite lead source

* change account ownership

* send outbound to a strategic account

* trigger a workflow

TrustFloor evaluates agent actions before they hit business systems. It returns allow, review, approve, or deny. Agents earn per-topic autonomy through verified outcomes, policy floors stay non-negotiable, and every decision is logged.

DM me for demo link

I’m now looking for a cofounder who can help turn this into a serious enterprise company.

The ideal person brings one or more of:

* Enterprise SaaS sales / GTM experience

* RevOps, CX, security, GRC, or AI infra background

* Fundraising experience or investor credibility

* Strong customer discovery and design-partner access

* Product instincts for technical B2B platforms

What I bring: product thinking, domain insight, early demo execution, and the core thesis around earned autonomy for AI agents.

What I’m looking for: someone who can help with customer discovery, enterprise positioning, design partners, fundraising, and early GTM.

This is early, but the timing feels right. Agents are moving from recommendations to actions, and companies will need a trust layer before they let those agents operate with more autonomy.

If this space is interesting to you, or you know someone who would be a strong fit, I’d love to connect.

Hi everyone!

We are currently seeking a mid-level Full Stack Python/Django Developer with 3 to 4 years of professional experience for an exciting, full-time onsite role with a client based in Dubai.

If you’ve got a few years of solid experience under your belt and have been looking for a career move that takes you to one of the world's most dynamic tech hubs, this is it. The client is offering a comprehensive relocation package to make your transition seamless.

🚀 The Offer & Perks

• Location: Dubai, UAE (Full Onsite)

• Relocation Support: Full relocation assistance provided.

• Visa: 100% sponsored and handled by the company.

• Accommodation: Provided/assisted by the company to help you get settled.

Salary - 3K to 4K AED per month based on interview outcome

🛠️ The Tech Stack

You’ll be working across the entire stack, so you should be comfortable moving between backend logic and frontend presentation.

• Backend: Python, Django

• Database: PostgreSQL

• Frontend: HTML5, CSS3, JavaScript (ES6+), jQuery

📋 What You’ll Do

• Design, develop, and maintain robust web applications using Django and Python.

• Optimize database queries and schema designs in PostgreSQL for performance and scalability.

• Build responsive, clean user interfaces using HTML, CSS, JS, and jQuery.

• Collaborate with cross-functional teams to ship new features and improve existing architecture.

🎯 What We’re Looking For

• 3–4 years of professional experience in Full Stack Web Development.

• Strong proficiency in Python and hands-on experience with the Django framework.

• Solid understanding of relational databases, specifically PostgreSQL.

• Confident frontend skills (you don't need to be a UI designer, but you should easily manage JS, CSS, and jQuery).

• Ready and excited to relocate to Dubai once the visa is processed.

• Good communication skills in English.

📬 How to Apply

If you're interested or want to learn more about the client, please send a DM with:

1. A link to your Resume / LinkedIn profile.

2. A link to your GitHub or portfolio (if available).

3. A brief note confirming you have 3-4 years of experience and your readiness to relocate.

Note: All applications will be reviewed confidentially from 14th June 2026

I recently moved to Vizag and I was living in Europe and Hyderabad before. Last night I was driving to Apollo pharmacy to pick some medicines and it was half past 11.

The traffic signals were active and damn no one was respecting them driving at reckless speed.

Moreover, when I halted at stop signal the rear commuters were honking as if I was obstructing.

I dont think this mindset can make Vizag the global city the government is trying to vision forward🥺

I came across a few CRM startups who ask my feedback. During customer interviews I casually asked them what’s there North Star. Few mention it as Daily Active Users.

Seriously if you really understand SDRs and leadership. Leadership sees CRMs as a visual reporting and macroscopic tool. Whereas for SDRs and Revops maintaining sanity and input all details is almost a nightmare.

If you try to push for DAU in CRM you wrote your own death warrant.

Hey everyone,

I have seen AI agents launched in recent past but keeping it completely autonomous across all topics is a challenge from day one.

I built an open source (currently in beta) trust engine where agents can start as guided, transition to co-work and then to autonomous state. The engine also logs the rationale reason behind every response from your agent and has a human in loop approval experience for agents to learn and mature slowly.

Currently looking for early adopters to understand product market fit and pivot if required.

If you are interested to explore adopting the trust engine happy to share more details in DM🙇‍♂️

I am professional CRM implementation and cleanup service provider. I recently made changes to my website and I have got good conversions for audit call.

All my leads have got my website as a recommendation from Chat GPT. However all I get is low value ICP leads and not potential high value ones.

Is there any strategy I can look at to improve my positioning?

According to market research and enterprise studies, only about 11% to 23% of AI agents successfully make it from the pilot/development stage into live production. The vast majority—roughly 77% to 89%—remain stuck in "pilot purgatory" or fail to be deployed at scale.

One of the reasons is

Enterprises hesitate to push agents live because they lack a structural "decision ledger"—a way to track exactly why an agent made a specific autonomous decision, when a human intervened, and what logic was applied.

To solve this problem we started with solving guiding AI agents over auditing irreversible AI autonomous taken decisions - We built a new governance layer where agents can be configured with a trust score at topic level and for interaction or action AI agents validate with our systems. Our governance layer helps with moving AI agents from guided to Co-Pilot and Auto pilot your AI agents in confidence with learnings from human decisions pulled to Agent for increasing trust score.

We are looking for early adopters to implement our governance layer. As a token of gratitude we will offer this as free for lifetime for 5 clients.

Looking forward for a conversation 🙇‍♂️

I've seen three companies make the exact same mistake in the past year and nobody talks about it openly.

These three companies are mid-size SaaS teams, with 40 folks in Sales, they had a solid Hubspot Professional configured, they are using Clay for enrichment and Apollo for outbound.
One of the companies started using Hubspot Breeze AI for lead scoring.

After 90 days, Clay enrichments were mostly bouncing or returning wrong company data. Apollo sequences had dismal connect rates. Breeze was scoring leads that had been in the CRM for three years with no activity as "high priority."

The actual problem:

• 23% duplicate rate in contacts. Clay was enriching both copies, burning credits twice on the same person.
• 34% of company records had no associated contacts — ghost records from an old Zapier integration nobody remembered setting up. These were polluting every company-level enrichment run.
• 1,400+ contacts with the email domain u/gmail.com or u/yahoo.com marked as "Business" type. Breeze was scoring these.
• Lead routing rules hadn't been touched since the company was 12 people. Hot inbound leads were routing to a rep who left 8 months ago.
• Lifecycle stages were a mess — about 600 contacts stuck in "Lead" that should have been archived 18+ months ago.

None of this was the AI tools' fault. All of it was the data the AI tools were operating on.

What actually changed after cleanup:

Clay lookup success rate went from ~58% to ~91%. Same settings, same waterfall. Just cleaner contact records to match against.

Apollo connect rate improved — mainly because we stopped sequences to stale contacts and the ones we did contact had accurate data.

Breeze started surfacing leads that made sense. Sales team actually started trusting the scores.

The thing nobody tells you:

AI tools in your GTM stack are multipliers. They multiply whatever is already in your CRM. If your CRM has a 23% duplicate rate, your AI tools will produce 23% garbage at scale — confidently, automatically, expensively.

The tools are not the problem. The foundation is.

Before you invest in any AI GTM tooling — Clay, Apollo, Breeze, Amplemarket, whatever — run a basic data audit first:

1. What's your duplicate rate? (Above 5% is a problem. Above 15% is critical.)
2. How many company records have zero associated contacts?
3. What percentage of contacts have a last activity date older than 12 months?
4. Are your lifecycle stages actually reflecting your real sales motion?
5. When did someone last audit your lead routing rules?

If you can't answer these questions, you're not ready to get value from AI GTM tools. You're just paying for faster garbage.

Happy to answer questions if anyone's going through this — it's more common than people admit.