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BatchIn V4 Vibethon + Pitch Day — #BosTechWeek
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BatchIn V4 Vibethon + Pitch Day — #BosTechWeek

Build with DeepSeek V4 and Pitch at Boston Tech Week with BatchIn-managed registration and Demo Day RSVP on Partiful

Date

May 15, 2026 – May 29, 2026

Location

Kendall Square, Boston + remote demo support

BatchIn V4 Vibethon + Pitch Day — #BosTechWeek

Build with DeepSeek V4 and pitch at Boston Tech Week

A Boston Tech Week cohosted event by BatchIn. Remote build runs May 15–25. Demo / Pitch Day is May 29 in Kendall Square, Boston, with remote demo support.

Demo Day RSVP is hosted on Partiful: RSVP on Partiful. The main Vibethon registration flow remains the BatchIn application form on this page. Registration does not automatically grant product access, API credits, or email invites. BatchIn reviews each request and emails approved teams.

Tracks

  1. AI Startup Launch — launch a focused product or workflow that can survive real users
  2. Vibe Coding / Agent Tools — build agent tooling, coding workflows, developer automation, or internal AI systems
  3. Production-Ready AI — show routing, observability, cost controls, fallback, and verification evidence for a serious workflow

Rules

  • No slide-only pitches. Working demos only.
  • No wrapper-only demos unless there is a real workflow or product insight.
  • Projects must show meaningful build progress during May 15–25.
  • Product access, V4 preview access, and any credits remain subject to admin review.

What teams should prepare

  • A working product path or operational workflow
  • A short live demo or recorded fallback demo for judging
  • Clear explanation of why the model, route, or verification path matters
  • Evidence of real progress during the build window

Demo Day and showcase

Selected teams may be invited to present on Demo / Pitch Day and may later be included in a public BatchIn recap or showcase. Demo Day selection and showcase inclusion are editorial decisions and are not guaranteed by registration alone.

FAQ

Is this an official DeepSeek event? No. DeepSeek is not a sponsor, host, or organizer unless otherwise stated.

Does applying grant V4 access? No. Registration means your request is queued for review. We email invites if approved.

Can remote teams participate? Yes. The build period is remote-friendly, and Demo / Pitch Day includes remote demo support.

What should a good demo include? A working product path, clear user value, and evidence that the team used the build period to make real progress.

Disclaimer

DeepSeek is a trademark of its respective owner. This is an independent builder event organized by BatchIn and cohosted as part of Boston Tech Week. DeepSeek is not a sponsor, host, or organizer unless otherwise stated.

Preview ready (Success)Manual review (Information)

Vibethon Customer Preview

Register your team for manual review, share your provider preference, and request a DeepSeek V4 private preview path without exposing secrets on the page.

Customer-preview safe

No API keys are requested on this page. Admins review each submission manually before any invite is sent.

Register

Capture the team contact, use case, V4 interest, and provider preference in one request.

Review

Admins move each request through submitted, reviewing, approved, invited, or rejected.

Activate

Approved teams receive a manual email invite. No automatic email is sent from this page.

Step 1

Request Vibethon access

Use a work email so the BatchIn team can review your team, provider path, and private preview fit before sending any invite.

Registration stores contact, review, and provider-preference details only. Do not paste API keys here.

DeepSeek V4 Preview (Success)Private preview (Warning)

DeepSeek V4 Preview

Private preview entry for approved teams evaluating the OpenAI-compatible BatchIn path.

Model ID

deepseek-v4-flash

Private preview only. Subject to approval and provider availability.

Choose your provider path

Select the path you want reviewed. The same selection is recorded with your registration.

OpenAI-compatible snippet

Use the configured public API base with model `batchin-deepseek-v4-flash`.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.luminapath.tech/v1",
    api_key="YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[
        {"role": "user", "content": "hello"}
    ],
)

print(response.choices[0].message.content)