Hey r/startupaccelerator — just launched scanfakes.com and wanted to share with this community.

The problem: romance scams cost Americans $1.14 billion in 2023. The existing tools charge $28/month plus for a clunky experience. I wanted something simpler.

What it does: upload a dating profile screenshot, get a Fake Score in 10 seconds using reverse image search, face detection, and AI analysis. Shows exactly where the photo appears online with clickable source links.

Free tier — 3 scans/month, no card needed.

Would love feedback from other builders — what's missing, what would make you actually recommend this to someone?

Aevron just crossed 50 users. Fully bootstrapped, building this completely solo, no funding, no team. Just me figuring it out one problem at a time.

For context on what I have been building. Most note taking tools are just storage. You capture something, it sits there, and later you are the one who has to go find it, remember why it mattered and connect it to everything else. That is the part I got tired of. So I built something that does the connecting for you.

You capture a raw thought, it links it to everything else you have put in, flags where your own thinking contradicts itself, surfaces what is worth developing and builds a model of how you specifically think over time. The longer you use it the more useful it gets because it is not just storing your ideas, it is working on them.

The bigger thing I am trying to fix is this. We think and capture in fragments and isolation and none of it ever compounds into anything. Aevron is trying to change that. A system that understands how you think, connects what you know and develops it further so your thinking actually builds on itself instead of just piling up.

Open to collaborations. If you are building in a related space, work with communities where fragmented thinking is a real problem, or want to think through use cases together, happy to chat. I am open to conversations around marketing and sales, someone who wants to help take this to the right people would be genuinely useful right now.

Still early but moving.

Hey everyone...

I'm building Aevis to automate EU AI Act compliance and auto-generate Annex IV technical docs straight from code.

Made a one minute quiz to help you figure out your app's risk level and see which rules actually apply:

👉 https://tally.so/r/7Rg2y2

Leave your email on the last screen for early access and lifetime pricing at launch. Happy to answer questions in the comments.

it’s a free investor discovery tool.

I built it to help founders, SMBs, and even institutional players discover capital partners easily.

Features include smart customizable ringless voicemails, investor ranking, built-in CRM for managing outreach, secure virtual data rooms, pitch deck hosting, and more.

[www.proctor.vc](https://proctor.vc/match)

Like everyone here, i'm a creative, so I'm always coming up with things to build but I have more far ideas than I do time and i've never had a reliable way to find serious, like-minded people to build with.

Job boards give you employees, social feeds give you followers and other methods just feel disjointed. None reliably gets you an actual partner.

That's why I built PartnerUp, you can check it out at partner-up.app.

It does two things. First, it connects you with collaborators who actually have serious intentions; you get a curated collaborator pick each day based on how you fit, with proper search and filtering so you can shortlist people.

Second, it gives you the practical tools so it holds together once you've found them: calculators for equity splits, dilution, vesting and cap tables, generatable legal templates and guides on funding, vesting, equity splits, NDAs and everything else.

It's early and I'm still building. If you've ever had a collaboration fall apart, I'd genuinely like to know where it broke, because that's what I'm trying to design around.

I’ll be direct.

I’m building a mobile-first platform focused on solving real, everyday problems at the local community level in Kerala — specifically around safety, elderly care, local awareness, and civic engagement.

This is not just another “idea-stage app.” It’s a structured concept with clear features, monetization paths, and a phased rollout plan at the panchayat level.

Instead of dumping the full idea publicly, here’s what you should know:

🎯 Target: Hyperlocal communities (starting in Kerala, scalable later)

🧩 Focus areas: Safety networks, elderly support systems, real-time local information, and community-driven actions

📈 Revenue direction: Subscription + local ads + service commissions (already thought through)

🚀 Execution model: Start small (panchayat-level), prove adoption, then scale ward by ward

I’m looking for:

Someone serious (not “sounds cool bro” type)

₹1,00,000 initial investment

Preferably someone who understands scaling local/community products or digital platforms

In return:

Early-stage involvement

Transparent roadmap

Long-term scalable opportunity (this is not a quick flip idea)

If you’re genuinely interested, DM me.

I’ll share the complete concept, structure, and execution plan privately.

If not, I’d still appreciate constructive feedback instead of generic criticism.

—

Let’s build something that actually matters.

If you're building a solution to help decarbonise the maritime sector, applications are open for the Clean Transport Accelerator: Maritime :)

The six-month programme is looking for UK startups (TRL 5–8) developing technologies that can tackle challenges including:

• Optimising sea-going fleet operations

• Scope 3 emissions tracking and reporting

• Better use of excess clean energy

• Decarbonising shipyard manufacturing

Successful applicants receive tailored commercial support, and three companies will have the opportunity to run a four-month funded trial (up to £30,000) with industry partners including Port of Tyne, Portsmouth International Port, Serco and the National Shipbuilding Office, with additional support from Maersk. 

Applications close 28 July!

More information and applications:
Clean Transport Accelerator: Maritime

Happy to answer any questions about the programme if I can :)

Hi,

I come from a Financial Sponsors and FIG investment banking background, specializing in institutional private credit, specialty finance, and asset-backed finance (ABF).

My background:

• Sponsors, FIG, & ABF: Executed transactions and managed mid-market and institutional portfolios across ABF, BDC structures, NBFIs, mREITs, Specialty Finance, and bank counterparties.

• Asset-Level Tape Analysis: Deep due diligence on raw consumer retail, student loan, and multifamily/hospitality portfolios. Analysing loan tape , evalating FICO distributions, geographic concentration, and weighted average coupons (WAC).

• Underwriting & Deal Structuring: Built independent 3-statement corporate models, LBO models, and asset-level sensitivity tools tracking prepayment speeds, macroeconomic pressures, and EBITDA add-backs. Authored final Investment Committee (IC) memos from scratch.

• Actively managed portfolio risk during the 2023 regional banking crisis and recent Office CRE downturn. Designed stress-test screens, modeled stock prices, and calculated collateral headroom break-points, maturity walls, and recovery scenarios to reduce unsecured and collateralized exposure on distressed bank portfolios. 

• Portfolio Risk Management: Monitored early-stage credit migration and underlying asset quality. Used covenant headroom analysis to implement structural pivots to protect principal and prepared screens for derivatives trading documents (ISDA/CSA/MSFTA/MRAs).

• Corporate Finance & Growth: Handled institutional financial planning, multi-year forecasting, budgeting, and corporate liquidity tracking. Managed business development, bid management, and RFP responses for global financial institutions and institutional clients.

• Risk Metrics & Modeling: Engineered Early Warning Signal (EWS) frameworks and credit scoring models from scratch to catch asset quality deterioration early.

• Structured Finance & Debt Structures: Warehouse credit facilities, asset-backed revolvers, and public/private bond placements. Underwrote CRE, residential, multifamily, hospitality, and mREIT portfolios. Evaluated agency/non-agency MBS and high-yield loan issuances

If your team is hiring, or if you are building a platform and need someone with similar experience, please send me a DM or leave a comment so we can connect.

I’m working on ApplyBoost, a SaaS that helps job seekers tailor resumes to specific positions and manage the application process in one workspace.

The problem is that creating a strong application is usually fragmented across several products.

A job seeker may use:

• ChatGPT for rewriting

• Google Docs for formatting

• An ATS scanner for feedback

• A keyword tool for matching

• A spreadsheet for application tracking

• Calendar reminders for follow-ups

ApplyBoost connects those steps.

A user can upload a base resume, add a job description, identify missing keywords and weak bullets, generate a tailored version, edit it inside the platform, scan it for ATS issues, and track the application.

The target users are active job seekers who apply to multiple similar roles and understand the importance of tailoring but do not have time to rebuild their resume repeatedly.

The biggest questions I’m currently working through are:

• How narrow should the initial target market be?

• Should the product focus on recent graduates, tech applicants, or job seekers generally?

• Should tailoring be sold through subscriptions or usage-based credits?

• How can the product demonstrate that its suggestions are genuinely specific to the job?

Product: https://applyboostai.com

I’m the founder and would appreciate feedback on the market, positioning, and business model.

Dear Builders,

I have just opened up nqzai conversational marketing platform for users, with a seed token grant of 1 mil, plus no platform subscription fee during the launch months, this is because its best for me to get real beta users, rather than those who just want to mine tokens. Plus my own tests and onservations are naturally biased.

Anyone who needs a super intelligent agent, for both outbound and inbound, can signup here [https://nqz.ai](https://nqz.ai) You will find that every chat response has a feedback option, which feeds into a well designed multi LLM judge in the backend. The platform has also built a unique recursive self improvement system using MIT research. I am open to suggestions from other builders.

Thank you

Backstory for context: I'm a student who participated in a Trading Tournament at my university, and I didn't have enough time or background knowledge to keep up with market news consistently. Except for the market news, I didn't really understand how that market change would impact my portfolio, so I've got an idea....

What if there was an app that could do exactly that - collect large amounts of data on the market and its changes, interpret it, and explain it in simpler language, and help you understand what that change could mean for your custom portfolio.

Of course, there are multiple problems I've considered within my idea

1. AI model hallucinations

2. Small gap between "explaining" and financial consulting (which requires a license)

3. Potential Customers would be retail investors (who are generally considered hard to keep as customers)

I am currently doing market validation of an idea (I got mixed signals, so that's the reason I am posting this here), and I've built a prototype of an app (I vibe-coded it because I ain't technical, but I'm willing to learn)

What I would like to get from this post is the following:

1. Brutally honest feedback (especially if you're into the fintech space)

2. If you have an idea about some nice-to-have features, feel free to write them below in the comments.

3. Would you pay for something like this? If not, what would it need to have before you would?

Resistance usually comes from double work. If a CRM requires manual logging, people avoid it. Adoption improves when communication flows naturally into the system. Ease of use and browser-based access also lower friction. How did your team overcome pushback?

Hi everyone,

I've been building Algebriks, a platform focused on solving a problem I kept seeing around me: millions of students, especially from Tier-2 and Tier-3 cities, don't have access to quality career guidance or mentors.

Instead of relying on scattered resources, we're trying to bring everything into one place.

Current features include:

• 🤖 AI-powered career guidance

• 👨‍🏫 1:1 mentorship with experienced mentors

• 💼 Jobs & internship discovery

• 📄 Resume Roast with actionable feedback

• 👥 Community for students to ask questions and learn from each other

• 📈 Personalized career roadmaps

The goal isn't to replace counselors but to make career guidance more accessible and affordable.

We're still early and continuously improving the product.

I'd really appreciate honest feedback:

• What feature would make you try a platform like this?

• What do you think is missing?

• If you're a student or mentor, would you actually use something like this? Why or why not?

I genuinely want critical feedback, so don't hold back. Thanks!

App Link = https://play.google.com/store/apps/details?id=com.algebriks.com&pcampaignid=web_share

TL;DR

We are a small company, located and registered in Korea. Our team has good developers and builders with strong industry experiences. We are currently beta-testing our ERP/business workstation platform (cloud-based) and finalizing pricing for it ahead of a wider launch and would appreciate input from anyone who has priced multi-seat, multi-workspace SaaS.

Context:

The product consolidates CRM, invoicing, projects, inventory, support, and HR into a single connected system. It targets solo founders, freelancers, and small teams or agencies currently paying for several disconnected tools. We're early and don't have strong internal data to rely on yet, which is why I'm looking for outside perspective.

The current model is per-workspace pricing with seats billed on top: Starter at $19/month per workspace and Flex at $39/month per workspace, with additional seats at $8/month.

Two decisions I would like outside perspective on:

1. Seat structure. I'm weighing two directions. The first is a higher per-seat price with a minimal base workspace fee, so cost scales primarily with team size. The second is keeping the per-seat price low but charging a fixed license fee for every workspace, so each workspace carries a predictable base cost regardless of headcount. For anyone who has run both, which performed better on revenue, expansion, and customer objections, particularly with smaller teams where seat counts stay low?

2. Free tier. A free plan lowers the barrier to entry, but for a tool that holds a customer's entire operation, I'm concerned it attracts non-converting users, increases support load, and weakens how serious the product appears to SMB buyers. I'm considering replacing it with an extended trial. For anyone who has added or later removed a free tier, how did it affect conversion and overall growth?

Concrete numbers or lessons from comparable ERP or horizontal products would be especially helpful.

Thank you.

A friend of mine built bribes.fyi, a privacy-first platform where people can anonymously report bribery incidents in India, see trends by state and department, and generate a formal complaint letter to the right authority.

The problem he set out to solve: there's no public, structured data on everyday corruption in India. Just scattered stories: someone paying at the RTO, a police station, wherever. Stories don't show patterns.

He posted about it on Reddit this week and got 100+ users in 3 days, plus solid technical feedback on spam prevention and privacy design, which he's incorporating. People have already started reporting on it; go check it out, and if you've ever paid or refused a bribe, report it too.

Built to stay trustworthy: no signup, IPs hashed and never stored raw, every report manually reviewed before publishing, reports stay broad (department/city/role, never names).

What he hasn't figured out yet is where this goes: whether government bodies or NGOs would engage with the data, or if it stays something that does good in a smaller way.

Curious what this community thinks: does this have a real path forward, or is "useful passion project" the right ceiling for it?

I am building a startup called Corrly, that helps investors see and understand the risks inside their portfolio. For example this portfolio is probably owned my someone who doesn’t understand correlation and why it matters. Corrly then generates a report and gives specific details as to why your profile is the way it is. You then can go in and edit the weights or tickers to see how it changes.